Jaime Font

Universidad San Jorge | USJ · Departamento de Ingeniería Informática

The use of Search-Based software engineering to address Model-Driven Engineering activities (SBMDE) is becoming more popular. Many maintenance tasks can be reformulated as a search problem, and, when those tasks are applied to software models, the search strategy has to retrieve a model fragment. There are no studies on the influence of the search...

We present our Evolutionary Boss Improvement (EBI) approach, which receives partially complete bosses as input and generates fully equipped bosses that are complete. Additionally, the evolutionary algorithm and the new genetic operations included in EBI favor genetic improvement, which affects the initial partial content of the incomplete bosses or...

Lately, the model-driven engineering community has been paying more attention to the techniques offered by the search-based software engineering community. However, even though the conformance of models and metamodels is a topic of great interest for the modeling community, the works that address model-related problems through the use of search met...

Search-based model-driven engineering is the application of search-based techniques to specific problems that are related to software engineering that is driven using software models. In this work, we make use of measures from the literature to report feature location problems in models (size and volume of the model and density, multiplicity, and d...

In the context of Model-Driven Engineering applied to video games, software models are high-level abstractions that represent source code implementations of varied content such as the stages of the game, vehicles, or enemy entities (e.g., final bosses). In this work, we present our Evolutionary Model Generation (EMoGen) approach to generate softwar...

Bug localization is a common task in software engineering, especially when maintaining and evolving software products. This paper introduces a bug localization approach that, in contrast to existing source code approaches, takes advantage of domain information found in the model and the metamodel. Throughout this paper, we present an approach for b...

Collaboration with other people is a major theme in the information-seeking process. However, most existing works that address the location of features during the maintenance or evolution of software do not support collaboration, or they are focused on code as the main software artifact. Hence, collaborative feature location in models has not enjoy...

Systems with models at runtime are becoming increasingly complex, and this is also accompanied by more software bugs. In this paper, we focus on bugs appearing as the result of dynamic reconfigurations of the system due to context changes. We materialize our approach for bug localization in reconfigurations as an evolutionary algorithm. We guide th...

Context Traceability Links Recovery (TLR), Bug Localization (BL), and Feature Location (FL) are amongst the most relevant tasks performed during software maintenance. However, most research in the field targets code, while models have not received enough attention yet. Objective This paper presents our approach (FROM, Fragment Retrieval on Models)...

No maintenance activity can be completed without Feature Location (FL), which is finding the set of software artifacts that realize a particular functionally. Despite the importance of FL, the vast majority of work has been focused on retrieving code, whereas other software artifacts such as the models have been neglected. Furthermore, locating a p...

Bug location is a common task in Software Engineering, specially when maintaining and evolving software products. When locating bugs in code, results depend greatly on the way code modification timespans are weighted. However, the influence of timespan weightings on bug location in models has not received enough attention yet. Throughout this paper...

Traceability Links Recovery (TLR) has been a topic of interest for many years. However, TLR in Process Models has not received enough attention yet. Through this work, we study TLR between Natural Language Requirements and Process Models through three different approaches: a Models specific baseline, and two techniques based on Latent Semantic Inde...

Feature Location (FL) is a common task in the Software Engineering field, specially in maintenance and evolution of software products. The results of FL depend in a great manner in the style in which Feature Descriptions and software artifacts are written. Therefore, Natural Language Processing (NLP) techniques are used to process them. Through thi...

Feature Location (FL) is a common task in the Software Engineering field, specially in maintenance and evolution of software products. The results of FL depend in a great manner in the style in which Feature Descriptions and software artifacts are written. Therefore, Natural Language Processing (NLP) techniques are used to process them. Through thi...

In this work, we propose a feature location approach to discover software artifacts that implement the feature functionality in a model. Given a model and a feature description, model fragments extracted from the model and the feature description are encoded based on a domain ontology. Then, a Learning to Rank algorithm is used to train a classifie...

The application of Search-Based Software Engineering (SBSE) techniques to new problems is increasing. Feature location is one of the most important and common activities performed by developers during software maintenance and evolution. Features must be located across families of products and the software artifacts that realize each feature must be...

The benefits of Software Product Lines (SPL) are very appealing: software development becomes better, faster, and cheaper. Unfortunately, these benefits come at the expense of a migration from a family of products to a SPL. Feature Location could be useful in achieving the transition to SPLs. This work presents our FeLLaCaM approach for Feature Loc...

Feature Location is one of the most important and common activities performed by developers during software maintenance and evolution. In prior work, we show that Dynamic Feature Location obtains better results working with models rather than source code. In this work, we analyze how the criteria to create the model traces influence the Dynamic Fea...

Clone-and-Own is a common practice in families of software products, where parts from legacy products are reused in new developments. In industrial scenarios, CAO consumes high amounts of time and effort, not guaranteeing good results. We propose a novel approach, Computer Assisted CAO for Models (CACAO4M), that uses a Multi-Objective Evolutionary...

Eighty percent of the lifetime of a system is spent on maintenance activities. Feature location is one of the most important and common activities performed by developers during software maintenance. This work presents our approach for performing feature location by leveraging the use of architecture models at run-time. Specifically, the execution...

In this work we propose a feature location approach that targets models as the feature realization artifacts. The approach combines Genetic Algorithms and Information Retrieval techniques. Given a model and a feature description, model fragments extracted from the model are evolved using genetic operations. Then, Formal Concept Analysis is used to...

Software maintenance and evolution activities are responsible for the emergence of a great demand of feature location approaches that search relevant code in a large codebase. However, this search is usually performed manually and relies heavily on developers. In this paper, we propose a feature location approach that, instead of searching directly...

Metamodels evolve over time, which can break the conformance between the models and the metamodel. Model migration strategies aim to co-evolve models and metamodels together, but their application is currently not fully automatizable and is thus cumbersome and error prone. We introduce the Variable MetaModel (VMM) strategy to address the evolution...

When following an extractive approach to build a model-based Software Product Line (SPL) from a set of existing products, features have to be located across the product models. The approaches that produce best results combine model comparisons with the knowledge from the domain experts to locate the features. However, when the domain expert fails t...

Common Variability Language (CVL) is a recent proposal for OMG's upcoming Variability Modeling standard. CVL models variability in terms of Model Fragments. Usability is a widely-recognized quality criterion essential to warranty the successful use of tools that put these ideas in practice. Facing the need of evaluating usability of CVL modeling to...

Metamodels evolve over time, which can break the conformance between the models and the metamodel. Model migration strategies aim to co-evolve models and metamodels together, but their application is not fully automatizable and is thus cumbersome and error prone. We introduce the Variable MetaModel (VMM) strategy to address the evolution of the reu...

Metamodels evolve over time, which can break the conformance between the models and the metamodel. Model migration strategies aim to co-evolve models and metamodels together, but their application is not fully automatizable and is thus cumbersome and error prone. We introduce the Variable MetaModel (VMM) strategy to address the evolution of the reu...

Model Driven Engineering (MDE) has the potential to be used at run-time, to monitor and verify particular aspects of run-time behaviour. Models at run-time provide a kind of formal basis for reasoning about the current system state at run-time, for reasoning about necessary adaptations, and for analyzing or predicting the consequences of possible s...

Software Product Lines (SPLs) can be established from a set of similar models. Establishing the Product Line by mechanically finding model differences may not be the best approach. The identified model fragments may not be seen as recognizable units by the application engineers. We propose to identify model patterns by human-in-the-loop and concept...

The aim of domain engineering process is to define and realise the commonality and variability of a Software Product Line. In the context of a family of models, spotting the commonalities and differences may become cumbersome and error prone as the number of models and its complexity increases. This work presents an approach to automate the formali...

Common Variability Language (CVL) is a recent proposal for OMG's upcoming Variability Modeling standard. CVL models variability in terms of Model Fragments. Usability is a widely-recognized quality criterion essential to warranty the successful use of tools that put these ideas in practice. Facing the need of evaluating usability of CVL modeling to...

About a 19 % of elderly population is associated with poor performance in assessments of memory; the phenomenon is known as Age-related Memory Impairment (AMI). Lifelogging technologies can contribute to compensate for memories deficits. However, no matter how functional technology is, older people will not use it if they perceive it as intrusive o...

Every day we receive lots of information through our senses that is lost forever, because it lacked the strength or the repetition needed to generate a lasting memory. Combining the emerging Internet of Things and lifelogging sensors, we believe it is possible to build up a Digital Memory (Dig-Mem) in order to complement the fallible memory of peop...