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Application Development - Science topic
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Existing book Software Engineering Methodologies:
1. Waterfall Model
2. Prototyping Model
3. Automatic Programming
4. Reusable Model
5. Incremental Model
6. Spiral Model
7. Fountain Model
Existing most commercial Software Engineering Methodologies:
1. Agile Software Development Methodology
2. DevOps Methodology
3. Scrum Development Methodology
4. Waterfall Model
5. Prototype Methodology
6. Feature-Driven Development
7. Rapid Application Development (RAD)
8. Spiral Model
9. Dynamic Systems Development Model Methodology
10. Extreme Programming Methodology
11. Joint Application Development Methodology
12. Lean Development Methodology
We will address several questions about the above books and commercial methodologies later and provide a Unified and Stable Methodology to replace all these existing methodologies.
Existing Software Engineering Methodologies. Good, Bad, and ugliness, and please do not be fooled by several propagandas about https://en.wikipedia.org/wiki/Software_engineering and https://en.wikipedia.org/wiki/List_of_software_development_philosophies (Contain flawed information about software engineering) which include many named existing paradigms and models, such as UAP, XP, RAD, RUP, DSDM, MBSE, and other methodologies and Frameworks, Supporting Disciplines, Practices, Tools, Body of knowledge, and Glossaries. We will address all this propaganda and more in evidence and empirical studies.
Check the. Software engineering References – We will look at some references (bizarre). We will also provide critical looks at course notes and exciting books.
All the SWE Methodologies have the following phases Explicitly and Implicitly, with the amount of work allocated per each phase according to the
Software Engineering simplified Guidelines:
Requirements (Functional and Non-Functional) 35%
Design 25%
Coding or Programming & Code Testing 10%
Testing 30%
In Practice:
Requirements (Functional and Non-Functional) 0
Design 5%
Coding or Programming & Code Testing 95%
Testing 0
See Attachments
Major Problems:
[1] Sequential
[2] Testing in the wrong place in the lifecycle
{3] Requirements and Design (60% of the lifecycle) 60% of the lifecycle.
In reality, there needs to be a trace of the requirements and design.
[4] The professors, lecturers, teachers, gurus, Deans, and Chairs need to learn about Requirements, Design, and Testing, and they are poor coders.
[5] All SWE Books, leading authors, and SWE Gurus need to learn about Requirements (Functional and Non-Functional): a) Do not know how to do it and b) it needs to be addressed.
[6] Design / Architecture ---
a) The majority of the professors, lecturers, teachers, Guru, and authors are poor modelers
b) Most professors, lecturers, teachers, gurus, and authors have yet to learn what they are doing.
Software Lifecycle with no Testing Stage
A proposal for a software methodology includes Testing with 1) Functional & non-functional Requirements, 2) Design & Architecture, and 3) Coding instead of having the Testing at the end of the lifecycle.
The leading authors in Software Engineering and software testing indicated that Testing starts from or makes it part of the requirements (functional and non-functional), design, and coding.
Tkachenko indicated five primary and four secondary attributes of requirements for software testing:
+ Five primary attributes of requirements testing are Completeness, Clearness, Correctness, Consistency, and Testability.
+ Four secondary attributes of requirements testing are Necessity, Priority, Traceability, and Conciseness.
Evgeny Tkachenko, “5 key attributes of requirements testing: Know before you code.” TechBeacon, 2022
Major Problems
[1] There are no functional and non-functional not exist. How do we test if something is not existing?
[2] Indicating the attributes of requirements Testing without telling what to test and how to test each one of the attributes within the requirements, how to assess or measure such attributes, and others.
The reality did not change, and still, the design was 5% and coding 95%
See attachments.
Conclusions:
Each of the existing books and commercial software engineering methodologies has Good and Bad, but unfortunately, the Ugly (disastrous evil) of all the existing software engineering methodologies exceeds its Bad.



There is an increasing concern about non-communicable diseases. How can we (clinicians and researchers) bring change and facilitate people through digital applications and software? How can we conduct a research based on this specially in Low Middle Income countries?
Hi everyone,
We'd like to open a huge topic by a literature systematic review. However, the topic is so broad, the initial search on Web of Science only provided us od over 25 000 papers which met our search criteria. (Sure this can be reduced, but only slightly.)
I'd like to explore computer asisted review's possibilities - there must be some software capable of performing an analysis of some sort. Is there anyone who has experience in this field?
Thank you for your thoughts.
Best regards,
Martin
The major applications, uses and purposes of civilian drones. How the world is transforming by the advancement of technology in mapping sector? How drone is aiding in mapping?
Can someone tell me use cases that uses multiple combination of custom metrics to scale or combination of custom and system metrics?
when it comes to scaling in Kubernetes, we rely on metrics. By default, we use CPU and Memory metrics. Considering use cases where we need custom metrics (such as 'request count per second'), Kubernetes allows us to plug in custom metrics.
For an application, there might be interrelated metrics that help in scaling. For example, combining "CPU" and "memory" metrics, we can use "CPU^2/memory" as the combined metric to scale.
Can someone direct me towards real-world scenarios similar to this, but relating *custom metrics, where multiple *custom metrics are correlated in order to perform scaling?
will this be a better approach?
I need an App to track the location of a group of individuals separately during the working hours.
With the capability of storing the info for each person, location and time.
Research can have many different kinds of effects and impact depending on the discipline and the research organisation. Society’s expectations of the impact of science are also different for different disciplines.
Researchers are encouraged to consider how their work is connected with wider issues, extending beyond academia. It is important to ensure that both policy-makers and the general public are aware of the effects and impact of research and the potential it carries.
Want to see the current interests of everyone
Good day colleagues,
I hoe that you provide me with a template or even a sample of how to provide a system analysis report for an android platform and a web application. What are the main elements that should be included in such reports and how to present the links of the user interface (UI)?
Thanks in advance
I am very much interested in point pattern analysis, and I can imagine many applications that are useful in science. However, I have no clue whether such spatial point pattern analyses are also applied in real workflows of forestry companies, and if not why not.
Would be great if anyone has an opinion to share.
The Big Data database technology is finding new applications in business.
Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria.
The report development time depends mainly on the computing power of Big Data servers.
In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type.
Perhaps in the future, artificial intelligence will also be involved in this field of analytics.
In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes.
Some technology companies produce Business Intelligence platforms for business entities.
Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence.
It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.
In view of the above, the current question is: Do Big Data companies use Business Intelligence to operate in your countries?
Please, answer, comments.
I invite you to the discussion.
Dear Colleagues and Friends from RG
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes

As a end user / developer, what are the factors or components you consider for application performance
Eg : CPU Ussage, Network Consumption, Responsse Time.
Would love to hear about the performancce components, the ones you care for the most and your ways to benchmark it.
I am searching any platforms which are suitable and easy to explore to develop simple apps and links to my web based for complaining system.
I'm looking for actual value of data generation rate that is generate by ECG sensor ( such as smartwatch ) and EEG sensor ( such as Muse ). Can anyone help me find a reference paper that refers to these values. Please help.
I am working on a project fusing multi-source data using Netica, and encounter a problem. More details will be attached if someone respond. Thank you.
I was doing a project in indoor navigation application in android.
I want to pop up message when ever user enter into a0 shop.How to implement this.Any help is Appreciated
Our lab has been looking for this answer for a few years now. Currently, we can collect heart rate data but it cannot be accessed until post-test. We are looking for suggestions on a method to obtain this data and be able to view it in real-time.
I am considering a grant application to develop an online graduate course in dental anthropology, using virtual models and 3D-printable teeth and bones. I need to be able to gauge what sort of people would be interested in a) enrolling and completing the course and b) which professional tertiary education and research institutions would prefer to employ people who have completed such a qualification.
Hello fellow researchers. I would like to know of any current study that has researched on the applied software development development processes used by developers in mhealth application development and their short comings.
Thanks
I am setting up a new CompSci Software Engineering module where students learn to work with larger, third party software systems, and the challenges associated with this. They will have to refactor and extend existing code in a structured way.
My initial thought for the name of the new module was "Working with Legacy Code" but I was told that it sounds a bit old fashioned. Do you have any suggestions for a name that would spark the interest of students?
As many of you know, Microsoft released the new version of Kinect sensor, v2.0, that overcomes many of the limitations of the previous version. The problem is that the new sensor is not compatible with applications developed under the previous one. I'm wondering whether is it worth to change the code to adapt it to the new version or start all over again. Maybe someone has implemented a miraculous library to make compatible the 2 versions...
For example if someone development some software project research for special purposes, how we measure parameters that software is capable to write and submitted to journal?
Do the various pregnancy apps from the App Store or Apple Store have research-based health information and can they be considered reliable educational tools for pregnant women? Has anyone actually reviewed these apps for reliability?
I would like to buy a GNSS board receiver for developing wearable applications in Southamerica. Therefore, in addition to high precision, cost matters.
Thank you in advance!
Can joint application development be used with the system development life cycle methodology?
Systems that aim at cost reduction strategies might lead to applications development the various areas of the company.
Which is the best way to develop a "water-demand" visualization app where a company can have real time data updates from a master meter into the systems in offices.
I want to implement SVM in MATLAB for application development.
Is anybody interested, in doing a research project with the following topic?
There are tools to measure child hood cognitive development in developed world but the tool applicable for developing countries is still unclear.
For buildings reconstruction/restoration projects.
For Graphic design projects.
There are a number of smartphone applications that use the phone's accelerometer to monitor sleep patterns. The user simply places the phone on the bed beside him or her, and the phone records motion during sleep.
Is this accelerometer sensitive enough to detect the motion created by an infant's respiration? If so, it would be a simple matter to create an app that would alert the parents if the child ceased breathing. Perhaps the alert would arouse the child enough to cause him or her to resume breathing.
An alternative strategy would be to use the phone's camera to detect the breathing motion in the infant. The phone could be placed beside the infant with the camera facing the ceiling. A laser on the ceiling could provide a stable point of reference, so that any motion of the phone would be detected by its camera. This might be more sensitive than the phone's accelerometer. Once the motion is detected, the strategy is the same: produce an alert if the motion caused by the infant's respiration ceases.
What do you think? Is this viable?
I've just read that aspect oriented programming (AOP) is fixing problems on object oriented programming (OOP) although its not as fast as OOP.
How do you decide between using AOP or OOP based on your experience?
I've decided to do research on Mobile Apps Development, but I haven't found any appropriate topics.
Can anyone help me to choose an effective research topic for Mobile Apps Development.?
Computer Vision is growing quickly with many new killer apps like augmented reality, intelligent transportation, 3-D scanners, and no doubt many more advanced interactive systems of the future ... so does it make more sense to define a new programming language for CV like Halide (http://halide-lang.org/) does, to use APIs (as has been done now for some time with OpenCV) or to define hardware co-processors? Or perhaps some mix of the 3 as has evolved for graphics (GL, OpenGL, GPUs, RenderMan, etc.). I'm just curious what researchers favor and see as advantage and disadvantages of each.
I want to develop an application that can support multiple device (screen resolutions).
Can someone provide a simple explanation about Agile methodology, Software development life cycle, Rapid application development, Join application development , Systems Analysis & Design and design pattern
I want to know the most recent typical large-scale and low power wireless sensor networks systems. Self-organization, low power for the whole network, multi-hop routing and period data collecting (data cycle: thirty seconds to several minutes).
I am scheduled to teach a set of students the use of cloud computing as a part of a class in Software Engineering. The students are supposed to do a project in the cloud. Does anyone have any words of wisdom for me on how to get access to a commercial cloud for academic use where the students can collaborate in the development of an application? I am thinking of approaching IBM, Microsoft, and Oracle but am not sure if they allow free access to their cloud for academic use. Any other pointers for this venture will be appreciated as well.