Software Engineering - Science topic

Question to software engineering researchers and educators: which excellent recent A-rated research articles (maximum 5 years old) in the software evolution/engineering field to recommend for master-level computer science students without research background (yet). No literature surveys please. All suggestions welcome!

Topics to initiate...

I need a collaborator with experience in code development and, if possible, numerical analysis too.

I am currently developing an open source code in python that can be used to solve different kinds of Integral Equations.

In the last one and half years I have done some work in numerical Algorithms for integral equations with some papers already published. It has culminated to several python codes which I have used to produce the results.

The codes are all private but the results are published so I am inclined to make these codes publicly available so that others can use them at no cost and minimum effort.

I, therefore, need a fellow Researcher who has good skills in software engineering and numerical analysis to join me in this line.

A minimum requirement is the knowledge of git and python.

You can email me at nwaigwe.chinedu@ust.edu.ng

Under the following heading, can you provide a meaningful explanation to understand the importance of requirements engineering?

Which software is best for making high-quality graphs? Origin or Excel? Thank you

How long does it take to a journal indexed in the "Emerging Sources Citation Index" get an Impact Factor? What is the future of journals indexed in Emerging Sources Citation Index?

Hello,I

am searching for interview partners to gain data for my masters dissertation. The interview can be done in English or German.

My topic is "Bots as a paradigm shift in software engineering", wich is a qualitative study. So, if you are a software engineer, developer or have a qualified overview about automating software engineering tasks, I would like to talk to you about technology, trends, your experience and opinion. It will take ~30min.

See you!

Torben

I am doing MPhil in Computer Science and Software Engineering is my Specialization. I am trying to choose a domain/ topic to work on for my Thesis. I am otherwise a good student but not able to narrow down what domain, field or area I should choose where I can have oppertunity for further work in future as well.

I’d like the IT community to suggest ideas of software that they would like to see designed that would be helpful to the society or an improvement of an already existing application or website. I need more meaningful software engineering ideas.

Greetings,

I am looking for suitable topics for a master dissertation with focus on software engineering.

I find enough areas (cloud, API, etc.), but I am missing a relevant question that needs to be addressed. e.g. "What impact do platforms like stackoverflow have on global software quality?" or "Does pair-programming result in better programs?"

I am already looking for articles that address specific questions. If anyone has a hot tip for me, I would greatly appreciate it.

Have a nice weekend!

Torben

I'm doing my bachelors in software engineering and I need to pick a topic for my bachelors thesis. What are the latest research areas in SE that are not too hard for a student?

Dear Friends,

There are systematic attacks on freedom to express scientific ideas and facts in India (also may be True in other 3rd world countries). There are so many crony intellectuals in tax payer funded universities or research institutions, who occupied position of influence and power not by merit but by pleasing corrupt Indian political system. They have been using their power and influence to suppress new ideas and inconvenient Truths.

I faced this kind of crony intellectuals in many research organizations such as IITs at Delhi, Mumbai or Chennai, DRDO and IIIT at Hyderabad to name a few. These crony intellectuals viciously suppress freedom to express scientific ideas and facts to cover-up their ignorance or satisfy egos.

It enraged many of them and they resort to vicious personal attacks, when I politely presented facts that expose mistakes in their knowledge or perception of reality. For example, one of such instance I reported in my earlier question, where IIIT at Hyderabad assaulted on my freedom to express facts by banning me from interacting with researchers: https://www.researchgate.net/post/Why_so_many_experts_react_so_viciously_and_resort_to_insults_for_requesting_an_opportunity_to_demonstrate_counter_evidence_for_flawed_beliefs

I was extremely polite and humbly requested for an opportunity for presenting evidence and facts to expose flawed beliefs at the root of existing dominant software engineering paradigm in general and CBD/CBE (Component Based Software Engineering and Design or development) of software products in particular. They banned me merely based on my polite requests without any other communication from them.

I have similar experience with former NASSCOM President Som Mittal, when he was President of NASSCOM. He bluntly told me that no one will listen to you, if you point out mistakes in their knowledge or perception and cutoff all communications. How can a fledgling or budding researcher survive such assault? Such crony intellectuals in the position of influence are the main reason that no worthwhile invention or discovery can ever come out of India?

It is shame on every Indian intellectual for allowing such crony intellectuals to stay in the position of influence or power, and do nothing when such crony intellectual have been assaulting on inalienable rights and freedom to think and find facts for exposing mistakes. I am sure this situation exists in many 3rd world countries, where corruption is rampant. So this is also meant for such 3rd world countries as well.

Is he a real scientist or researcher, if he enraged for questioning his untested belief (i.e. myth) by disagreeing or for asking him to provide evidence to substantiate his belief (i.e. myth)? Such rude attacks are wide spread in India, where the so called intellectuals are more interested in pleasing corrupt political bosses for advancing their career then the research.

What would you do, if your basic rights are assaulted? Any researcher or a scientist not only have an inalienable right but also moral obligation to state such facts/truths, even if such facts or truths anger or enrage so called intellectuals for exposing their mistakes, prejudice or ignorance. It is his/her problem, if any crony intellectual can’t handle such harsh reality or truth. Assault on such truths is an assault on the scientific knowledge and progress.

Best Regards,

Raju Chiluvuri

CEO, Pioneer-soft

Ref:

or for software engineering for machine learning

I'm an undergraduate doing a Software Engineering degree. I'm looking for a research topic for my final year project. If anyone has any ideas or research topics or any advice on how or where to find one please post them.

Thanks in advance ✌

I'm a computer engineering student with specialization in software engineering and data science

and soon I have to write my proposal for my master's thesis , would be appreciated a lot if the experts of field would lend me their knowledge and insight to help me in choosing a problem to work on or where to search and look and read in order to be able to detect and work on a problem for my thesis.

Thanks a lot in advance.

Good day seniors.

Please I will start my PhD program in Software Engineering this year and I am interested in human factors in software engineering or human aspect of software engineering or empirical software engineering.

How do you think I can use Data Mining Techniques in these fields?

Thanks

I am a master student studying software engineering and currently looking for a master thesis topic in the field of software engineering, or web design and specilist frond_end designer . I'm not sure what kind of research I can do in this area and I need your help.

Thank you so much

Question-2: Why have AI technologies been approached by data-driven neural networks rather than program-driven software engineering?

We are trying to measure empathy in the Software Engineering domain and based on our investigation most of the available scales are designed for and used in psychology or medical domains. It would be very helpful if you can share any empathy scale which is developed for or which is used in software engineering domain.

I am looking for a scale which is developed specifically for software engineering domain or which has been used previously in software engineering domain or a scale which assess intergroup empathy.

Hello,

I graduated with a Master's degree in Computer Science and I have been working as a software engineer for 3 years.

At the moment I am planning to do my PhD in industry. I have some difficulties finding a topic.

So the research area would be requirement engineering, system engineering and cloud computing.

Do you have some topic suggestions or useful resources?

Thank you in advance.

Hi, I am a software engineering student currently in my final year of the degree program. I am trying to find a research topic based on either domain such as distributed systems, cloud computing and more likely to do a research related to Kubernetes. Your recommendations are welcome!

The topics should be suitable for postgraduate students

I have started my Master's degree in software engineering few months ago, and I am looking currently for trends and hot topics in the software engineering area.

I would really appreciate any suggestions for my thesis topic

research topics for software engineering.

Good day,

My name is Philips Sanni. I am currently rounding up my MSc degree in Software Engineering and am currently in search of a university where I can study for a Ph.D.in a related field but most preferably in the area of Artificial Neural Networks.

And if you are a professor in a need of a Doctoral Student, kindly send the details of your research and how I can apply to your university.

I need help on urgent basis, I applied for PhD in Concordia University located in Canada. My documents are accepted now I am at the stage where I have to find supervisor. I did my masters in Software Engineering, I need to write PhD proposal ASAP, any suggestions for updated PhD topic please?

Dear All,

I want your valuable suggestions based on experience in the filed of software requirements specification in academic research/ industry practice.

Quality standards are costly and are incomplete/static may not contain some quality attribute information.

What if we a semi-automated tool that capture the application specific quality requirements and provides its formal specification? What kind of company get benefited? what feature list do it support practically?

Please provide your opinion regarding current practice handling quality requirements and quality models/ what are the lacking regarding the same.

Hopefully waiting for the responses.

Thanking you,

Software Experts: Ever wanted to write a book? Here's an opportunity close to it that you may not want to miss. Please see

for more details.

I have thought about this question a lot, and my concern is that there are a group of subjects that aren't preferable to be investigated by interviews. Because the results would be misleading. Very misleading! Let me explain. Imagine you want to know to what extent certain experiences has occurred in a certain group of the society. For example how many people experienced headaches in the last month. Then one can conduct a set of interviews and ask relevant questions to the respondents about whether they had headaches, to what extent they had, what time in a daytime, and so on. In this case interviews seems to be a valid method because the respondents can be quite precise in their experiences and can report valid data (if all due methodical precautions are respected).

Now, my concern is that in software engineering most of the subjects we are investigating are of much complex types and respondents' opinions in most cases has nothing to do with the reality. For example, we conduct interviews to investigate the reasons of why the tractability of software requirements cannot be established properly in industry. Say we select 100 respondents from 4 companies and ask them relevant questions on this subject. Then we compile the results with inductive methods. So far the kind of results that we get in this kind of studies are either simplistic or wrong. In the former case we get answers like, because the requirements are changing or because the practitioners don't have time. That requirements are changing was found in 1990s or that practitioners don't have time is kind of tautological isn't it? This kind of answers don't seem to provide any value. In the latter case we get answers like because managers don't prioritize tractability tasks. Not really true, tractability tasks are part of system development task and the reasons for not prioritizing is more profound: such as the entire coding world and requirements world are disconnected in the development each of the practitioners concerned with own problems. As a result code and requirements management systems aren't integrated. And if we go one step deeper - why aren't they integrated? then we find that there is not enough believe among the software engineers that code and requirements should be treated as one system and one system development. So there is a culture and maturity problem too. But this means that the questions we investigated are a part of much complex problem. And how on earth do we expect practitioners giving wise answers to this complex problems?

Shouldn't we be more considerate on where we use interviews? And how?

Actually, I want to apply for a scholarship in Korea. Recently, I have completed my bachelor's in software engineering. My previous work and skills are related to web development. I want to ask. Which topic is best for me. that helps me to get a scholarship

Industries have been following the DevOps culture for the last decade.

Security (Sec) term is merged now with it, and the DevSecOps is getting popular in the Research area of Software Engineering. Some Cloud-Based industries have also started to follow this and implement it in their development sector.

There are some research papers on DevSecOps, and I am trying to find the research gaps; in the meantime, if any of you can support me with your valuable answers, that would be great.

Thank you so much.

NB: If you think there is any wrong with the question, please mention it. I will highly appreciate that.

If yes what tools are available ? If no, what can be the research direction?

What do you suggest to teach in the Advanced Software Engineering Course for MSc students?

We have already given courses for Advanced requirements, design, quality, testing, and project management.

Can anyone recommend good case studies with a focus on project management, project risks and managing the team; that I can use for my students in Software Engineering and Managment BSc. The idea is to get them thinking about challenges and other issues that impact project success. Cheers!

How possible can a researcher in the computer science, software engineering school, or Information Technology related field suggest a research topic for a research student in business school especially marketing?

Recently, as a Ph.D. candidate, I have been confronted by some friends who are in business school studying Management, Marketing, etc. to suggest some research topics for them.

I would like to know the possibility of an I.T student to give a topic to such students.

What are the biggest challenges that the AI/ML developers facing during the development process?

what are the challenges when using automated tools during the process?

Hi, I am a software engineering student currently in my final year of the degree program. I am trying to find a research topic based on Edge computing. Your recommendations are welcome!

Briefly comment how do you see six-sigma as a prescriptive process to an organization?

What kind of deviations and disadvantages it can observe when implementing it?

The prescriptive Software Process Models can be groped into two as Engineering models and Lifecycle models.

You need to find a software engineering organisation's Prescriptive and descriptive process models to understand and improve the processes.

Disclaimer

The discussion targets the perspectives of two types of participants.

It is warmly welcome the ideas of both the groups as well as interest audience

I recently received reviewer comments stating that I should have linked the software system I was proposing in the paper. The source code for this system exists on GitHub with my name on it and since the conference was using a double blind review process, I took out links to the GitHub repo.

How should I approach this in the future?

I am trying to generate all possible Associative Fault Mutants for a predicate.

For example: A predicate p= (a*b)*(c*d)

where * represents a logical operator viz., || or &&.

The possible mutants are

m1= a*(b*c)*d

m2= ((a*b)*c)d

m3= a*(b*(c*d))

and so on...

But, when the conditions contains 'Not' operator then what will the possible mutants?

for this predicate p= !(!(!a*b)*c)d, how to generate the possible associative fault mutants?

Any lead will be very helpful.

Dear Friends,

Can you guess which one is the most mysterious and enigmatic physical thing among these things such as biological cells, light, elementary particles (e.g. electrons, neutrons or protons), viruses, fungi, bacteria, atoms, chemical compounds, biological cells, blood cells or finally plain old components, in the context of engineering paradigms (e.g. mechanical, electronics, or aerospace) for designing and building large products (e.g. cars, airplanes, computers, factory machinery or spacecraft)?

The greatest tools for acquiring and using knowledge for technological progress and great inventions are (i) scientific method and (ii) mathematics, where these two tools provide complementary perspectives for gaining deeper insights. Each act like a light to illuminate mutually complementary sides, perspectives or dimensions. Since software researchers refuse to use scientific method (i.e. light of science), software community wasted 50 years and failed to solve software crisis and ended up with a useless fake CBE-paradigm.

If fake scientists still don’t realize that it is a mistake to blatantly violate scientific principles, they are going to repeat same kind of mistakes for Artificial Intelligence research and development. Many things would stay enigmatic and end up in a crisis, like software crisis. Many things that are inexplicable and puzzling or enigmatic in the perspective of mathematics can become crystal clear from the scientific perspective, since light of scientific method illuminates the dark spots left by light of mathematics.

Today, greatest enigmas for researchers of software and computer science include answers to following simple questions such as what is meant by a component in the context of all the other engineering disciplines, and what is meant by CBE (Component Based Engineering) that successfully eliminated engineering crisis form designing and building large and complex products (unlike software crisis).

Even if we know just 30% about bacteria or viruses that has been documented in the textbooks, each and every piece of knowledge can only be included in the textbooks, if and only if the piece of knowledge is supported by falsifiable proof. It impossible to find a piece of knowledge that is not supported by a falsifiable proof. There is a possibility that 20% of the knowledge in the textbooks might be falsified by finding counter evidence in the future such as new discoveries or empirical evidence.

Since mankind have enough valid knowledge about things such as bacteria, light or electrons, researchers are able to invent great things such as treatments for many kinds of infections, fibre-optic networks or semi-conductor chips respectively.

On the other hand, none of the knowledge about the components in the textbooks for computer science or software is either tested (e.g. no one challenged) or supported by any falsifiable proof. But there is a possibility that up to 20% of the knowledge might be proven valid in the future. However, I am sure that 80% of the knowledge in the textbooks is invalid and not open for challenge.

Even simple things such as what component is and what is meant by CBE stayed an enigma and mysterious for many decades, since knowledge in the textbooks about components is untested and invalid. Fake scientists at NSF ( that I prefer to call National Fake Science Foundation) feel offended, if anyone challenges their myths about so called components.

Anything would be less enigmatic or mysterious, even if we only have 30% valid knowledge than another thing that has huge knowledge, but significant portion of the knowledge is invalid. Hence, plain old components are far more mysterious and enigmatic than the invisible things such as viruses, electrons and biological cells. We made many useful inventions by even by relying on the limited valid knowledge.

Can you name any physical thing on the Earth that is more mysterious and enigmatic for scientific community than plain old components used for designed and building large Component-Based Products (or CBP), by taking into consideration all the knowledge in the published scientific literature and textbooks for all scientific disciplines?

A thing must be the most mysterious and enigmatic, if there is a large BoK (Body of Knowledge) for the thing and if larger percentage of the BoK is invalid (e.g. untested and unproven). The main reasons that makes anything enigmatic is not just lack of sufficient valid BoK but also having large chunks of invalid knowledge.

Isn’t it fascinating? Even such simple to acquire knowledge would stay mysterious and enigmatic (and creates a paradox and crisis), if researchers refuse to use the light of scientific principles to illuminate dark spots that are in the realm of science, since such dark spots can’t be illuminated by the light of mathematics.

I invented solutions for software crisis by gaining scientific knowledge essential for understanding mysterious components essential for achieving the elusive and enigmatic CBE-paradigms, in the context of all the other engineering disciplines. The fake scientists of computer science foolishly refusing to use light of scientific method.

The NSF that supposed to uphold scientific principles and scientific method, but is breaking scientific principles, protocols and code of conduct for scientific discourse, which is essential for progress of science and technology. Any accepted theory (i.e. theory or concepts derived from the theory that are being used by practitioners of any craft or trade) must be treated as an assumption, if the theory is not supported by a falsifiable proof (that is backed by repeatable evidence and/or verifiable facts).

The practitioners of astronomy or astrology had been practiced their trade or craft until 16th century by relying on the 2300-year-old theory “the Earth is static at the centre” (and concepts or observations derived from the theory). Mankind falsely concluded that “the Earth is static at the centre” is self-evident fact, so no one bothered to support this unproven theory by finding a falsifiable proof.

Since there was no falsifiable proof for such core first-principles in the foundation, it was impossible to challenge the huge BoK (Body of the Knowledge) acquired and accumulated for 1800 years for creating the dominant paradigm until 16th century by relying on such core first-principles. The scientific community in dark ages used illegal circular logic to defend the core first-principles.

For example, they used the observable facts such as epicycles, non-uniform speeds of planets, lack of stellar parallax and retrograde motions to defend the presumption “the Earth is static at the centre”. Countless concepts, observations and other derived theories in the whole BoK that had been accumulated for 1800 years can be used to defend the belief “the Earth is at the centre”.

The scientific method, protocols and processes for discourse has been created and perfected to prevent this. The biggest problem to subvert a flawed dominant paradigm is overcoming the illegal circular logic, which rely on the huge BoK acquired and accumulated for the paradigm. This kind of thing can be prevented by having falsifiable proof for the core first-principles at the foundation of any dominant paradigm.

When there is a falsifiable proof and if the theory is flawed, it is straight forward to falsify the proof by finding one or more verifiable and/or repeatable counterevidence. This is the reason the scientific method is created, which requires that each theory must be supported by a falsifiable proof.

Unfortunately, today software researchers and experts using the huge BoK in the textbooks and published literature that has been acquired and accumulated for past 50 years by relying on untested and unproven core first-principles in the pre-paradigmatic foundation such as about so called components for software and computer science is a branch of mathematics etc.

About 80% of the accumulated knowledge we have in textbooks and other published literature about the components for software is untested, unchallenged and invalid. Having invalid knowledge makes anything enigmatic, mysterious or paradoxical. Anything would become more and more enigmatic, mysterious or paradoxical, if it acquires and accumulates more and more knowledge and if larger and larger percent of the knowledge accumulated is invalid.

Every piece of scientific knowledge for any physical thing in the textbook must be well tested, challenged, and musty be supported by falsifiable proof backed by empirical evidence that must be open for challenge. Scientists of computer science must be ashamed of them-selves, if they feel offended by counter evidence or facts to expose untested or unproven knowledge about the enigmatic components.

Isn’t it pathetic, if the NSF (National Fake Science Foundation) don’t know or can’t understand basic scientific principles, processes and basic code of conduct? I oppose passing “The Endless Frontiers Act (S. 3832)” to fund the Fake Science foundation, until fake scientists at NSF understand basic scientific principles and processes and strictly implement the code of conduct for upholding the truth.

I wish to file a court case to block the act (i.e. The Endless Frontiers Act) to prevent tens of billions of dollars flush down the drain by the fake scientists at CISE, since nearly 50% of the US$100 billion goes to the CISE of Fake Science Foundation.

Best Regards,

Raju Chiluvuri

I have heard conflicting answers on this ranging from "do it to make your research accessible" to "only do it if you're invited" to "don't do it at all." The most moderate advice I saw was "one or two is fine as long as you have several other journal publications."

If the answer depends on my field, I'm in computer science and software engineering.

Dear Friends,

I have been struggling to find a person who can provide valid scientific answer in the context of all the engineering paradigms (e.g. mechanical, electronics, computers and aerospace) to two simple questions (1) What is a CBP (Component-Based Product), and (2) What are the specific kind of components that are essential for the CBPs?

Once valid scientific answers are known, it is not difficult to eliminate notorious spaghetti code (that is root cause for infamous software crisis) from designing and development of large and complex software products. In fact, software engineering ended up in the crisis, because no one in the world knows the valid scientific answers.

Best Regards,

Raju Chiluvuri

Dear colleagues,

The idea that its language can identify a scientific or technical field was a relevant topic in the work of Jürgen Habermas. However, in computing fields, this difference would be mild or fuzzy.

I have designed a small instrument to measure the domain difference between computer science and software engineering. I would like that you answer it ( http://shorturl.at/akFS7 ) or let me your opinion about it. Depending on the number of answers, I would let the results here.

Thank you very much

I would appreciate it if you recommend me any CURRENT book or well-structured didactic material about best practices on structuring a Python project. I have found some blogs but I feel like they don't provide in-depth information and I already know most of what they're teaching.

My students are using the following software in developing their prototypes for the Software Engineering course projects:

- JustInMind.com (Interesting, can develop mobile app, but needs a learning time)

- Wix.com (Easy to develop, but limited to e-commerce apps), and

- Visual Studio (Not easy for the new learners, but can the prototype be promoted to a real app)

- I am also investigating the wireframe of Visual Paradigm.

Can you suggest to me more interesting and easy to use prototyping tools?

Thank you.

Computer Science and Engineering

I am doing atm gui for my project in java. In my opinion using array of objects is the best option to store customer data. When i try to access it in an ActionListener method, i get this error: Exception in thread "AWT-EventQueue-0" java.lang.NullPointerException. This happens when i hit the register button. I tried to delete the array and use a normal object in the ActionListener and it worked smoothly but it is not useful to store multiple customer data. Is there another way to store these or to fix this error? I uploaded the source file so you can check the code. Thanks in advance.

We are considering an approach to mathematically deploying software engineering.

I am a MS(SE) student and currently searching a topic for my thesis work in the area of Cloud based Software Engineering. Recently I did a survey on cloud based software development life cycle that my professor gave me an assignment. But now I want to do my thesis that how the software engineering is helpful for the cloud computing like SAAS?

I am a student in software engineering. And this is my first step in the research field. I would be glad if get the expert advice of yours.

I am a MS(SE) student and currently searching a topic for my thesis work in the area of Cloud(SaaS) based ERP. Recently I did a survey on cloud based ERPs that my professor gave me an assignment. But now I want to do my thesis that how the software engineering is helpful for the cloud(SaaS) based ERPs?

Thank you!

I have searched and found many available datasets for Software Defects Prediction. But all of them are module(Class,File) level defects detection datasets.

Are there any datasets available for Statement Level Defects Prediction. Or that can point to specific location of error in file?

Is Scrum the only one?

Traditional software development methods are not very efficient because with the slightest or rapid change in the requirements, you need to have a meeting to improve.

Agile is a solution. Agile is a way to prevent project failure.

what is your opinion?

Hi,

I'm a software engineering undergraduate.

I have a dataset which includes the numerical values of variables x,y,z and output r.

I want to create an algorithm which basically uses a prediction algorithm using neural networks and finds the relationship between x,y,z and predict r, such that when i give a new set of inputs it should predict z, this is a reactive approach.

Therefore to make it proactive, i want to look at the past data of x,y,z and r and forecast future values of z.

Can i combine two models like this and make a hybrid algorithm because sometimes we can't just use past behavior to determine? are there any usecases or papers which have used prediction and forecasting together?

Also any idea how long will it take to train both models?

Thank you.

Our Information Technology group has seen unprecedented results in the last years and we have now a solid research group with brilliant colleagues working on very interesting topics. Are you experienced in Software Engineering with a focus and interest in Software Analytics? And do you want to strengthen the further development of our group and support our research and education activities?

Then don't hesitate, join us!

This is related to Homomorphic encryption. These three algorithms are used in additive and multiplicative homomorhism. RSA and El gamal is multiplicative and Pallier is additive.Now i want to know what is the time complexity of these algorithms.

I am a MS(SE) student and currently searching a topic for my thesis work in the area of Cloud based Software Engineering. Recently I did a survey on cloud based software development life cycle that my professor gave me an assignment. But now I want to do my thesis that how the software engineering is helpful for the cloud computing like SAAS?

I want to learn OOP but i don't know what is adventages of it. Let me know about it. Thank you for your answer

What kind of technique is used for systems of IoT?

What are the challenges for testing IoT?

Do we need to modify traditional testing technique for IoT?

I really appreciate if anyone discuss or refer some papers.

Thank you

My area is software engineering, I haven't any idea about the thesis. need lots of help. I want that the topic should be Lil bit easy. :P

Thank You

The analysis of software creation and management is software engineering. HCI allows the relationship between man and computer in a more complex and collaborative way. Now if we want to connect the Microservice Architecture with these how can we do these in a convenient way?

I have been working on test input generation from functional system requirements (specifications) of critical systems using Boolean expressions of a system. I managed to find the specifications of TCAS-2 [1], which is an industrial aerial collision avoidance system, that has been used in different works, defined as in [2], I was wondering if there are any other benchmark data or real system specifications similar to it?

Thanks.

[1] N. G. Leveson, M. P. E. Heimdahl, H. Hildreth and J. D. Reese, "Requirements specification for process-control systems," in IEEE Transactions on Software Engineering, vol. 20, no. 9, pp. 684-707, Sept. 1994, doi: 10.1109/32.317428.

[2] E. Weyuker, T. Goradia and A. Singh, "Automatically generating test data from a Boolean specification," in IEEE Transactions on Software Engineering, vol. 20, no. 5, pp. 353-363, May 1994, doi: 10.1109/32.286420.

There are probably several options in educating software engineers. As far as I know, certain understanding is developing in that applied mathematics or engineering are not the only acceptable backgrounds for software developers. But how can practical education be differentiated in terms of students' backgronds and related knowledge communities? Are there relevant educational frameworks that can be applied?

recently i prepared a research work for publication in IJCSSE. The site has been shut for weeks now. I feel the journal could be predatory .

I am interested in applying AI and ML in the field of requirements engineering, especially emotional requirements and goal-oriented requirements. From the cognitive viewpoint, how can both Data Scientists and Software engineers collaborate to build ML system that will distinctively address emotional requirements? How about in the case of conflicting emotions?

I am a master student , doing my masters in Software Engineering. I have a interest towards data, my question here would be what would be a good motivational topic to grow up my skills and work towards a spectacular thesis.

Any suggestions would be really helpful for me to improve my skills in this domain.

The basic idea behind this question is to gather information related to types of faults that are specific to code reading or code review.

What is the applications of AI during SDLC phases. How can we use AI during requirements engineering, during software design , software coding and construction , testing and maintenance. Can we use AI to proposed architectures for mature and intelligent tools for SDLC phases.

More and more software engineer development AI applications. This is a bit different from the traditional software projects, with iterative cycles of requirement analysis, design, coding, testing, demonstrating.

They have to make sure that complex algorithms are embedded in the code, they may be want to get some insight into the model, lot's of (streaming) data has to be collected, etc.

We are interested in your idea's about this.