Extração e evolução de linhas de produtos de software usando Delta-Oriented Programming : um relato de experiência

Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2019.Delta-Oriented Programming (DOP) é uma abordagem flexível e modular para a implementação de Linha de Produtos de Software (LPS). Desde 2010, ano em que a abordagem foi proposta, vários trabalhos sobre DOP foram publicados. Entretanto, após a condução de um estudo de mapeamento sistemático da literatura para analisar as reais implicações da técnica, notou-se que poucos desses trabalhos avaliavam de forma rigorosa os aspectos relacionados à evolução de LPS em DOP. Assim sendo, este trabalho apresenta um relato das implicações do uso dessa abordagem através de três diferentes perspectivas: (i) a extração e evolução de um aplicativo mobile em uma linha de produtos usando a DOP; (ii) a caracterização dos cenários de evolução segura e parcialmente segura de DOP através dos templates existentes na literatura; e (iii) uma análise em relação à propagação de mudanças e modularidade da técnica durante o seu processo de evolução. Os resultados mostraram que, apesar da técnica possuir uma maior aderência ao princípio open-closed, o seu uso pode não ser apropriado caso o principal interesse seja a evolução modular de features da linha de produtos, além de que, atualmente, a técnica ainda está limitada ao desenvolvimento em Java, em virtude da falta de plugins ou ferramentas que suportar outras linguagens de programação.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).Delta-OrientedProgramming(DOP)isaflexibleandmodularapproachtoSoftwareProduct Line (SPL) implementation. Since 2010, the year the approach was proposed, several papers about DOP have been published. However, after conducting a systematic literature mapping study to analyze the real implications of the technique, it was noted that fewofthesestudiesrigorouslyevaluatedtheaspectsrelatedtotheevolutionofSPLdeltaoriented. Therefore, this work reports the implications of using this approach from three different perspectives: (i) extracting and evolving an Android application to a SPL using DOP; (ii) the characterization of safe and partially safe delta-oriented evolution scenarios throughthetemplatesexistingintheliterature; and(iii)ananalysisregardingthechange impact and modularity properties of the technique during its evolution process. The results showed that, although the technique has a greater adherence to the open-closed principle, its use may not be appropriate if the main interest is the modular evolution of product line features, and currently the technique is still limited to Java development because of the lack of plugins or tools that support other programming languages

Supporting the grow-and-prune model for evolving software product lines

207 p.Software Product Lines (SPLs) aim at supporting the development of a whole family of software products through a systematic reuse of shared assets. To this end, SPL development is separated into two interrelated processes: (1) domain engineering (DE), where the scope and variability of the system is defined and reusable core-assets are developed; and (2) application engineering (AE), where products are derived by selecting core assets and resolving variability. Evolution in SPLs is considered to be more challenging than in traditional systems, as both core-assets and products need to co-evolve. The so-called grow-and-prune model has proven great flexibility to incrementally evolve an SPL by letting the products grow, and later prune the product functionalities deemed useful by refactoring and merging them back to the reusable SPL core-asset base. This Thesis aims at supporting the grow-and-prune model as for initiating and enacting the pruning. Initiating the pruning requires SPL engineers to conduct customization analysis, i.e. analyzing how products have changed the core-assets. Customization analysis aims at identifying interesting product customizations to be ported to the core-asset base. However, existing tools do not fulfill engineers needs to conduct this practice. To address this issue, this Thesis elaborates on the SPL engineers' needs when conducting customization analysis, and proposes a data-warehouse approach to help SPL engineers on the analysis. Once the interesting customizations have been identified, the pruning needs to be enacted. This means that product code needs to be ported to the core-asset realm, while products are upgraded with newer functionalities and bug-fixes available in newer core-asset releases. Herein, synchronizing both parties through sync paths is required. However, the state of-the-art tools are not tailored to SPL sync paths, and this hinders synchronizing core-assets and products. To address this issue, this Thesis proposes to leverage existing Version Control Systems (i.e. git/Github) to provide sync operations as first-class construct

9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021)

International audienceFormal Concept Analysis (FCA) is a mathematically well-founded theory aimed at classification and knowledge discovery that can be used for many purposes in Artificial Intelligence (AI). The objective of the ninth edition of the FCA4AI workshop (see http://www.fca4ai.hse.ru/) is to investigate several issues such as: how can FCA support various AI activities (knowledge discovery, knowledge engineering, machine learning, data mining, information retrieval, recommendation...), how can FCA be extended in order to help AI researchers to solve new and complex problems in their domains, and how FCA can play a role in current trends in AI such as explainable AI and fairness of algorithms in decision making.The workshop was held in co-location with IJCAI 2021, Montréal, Canada, August, 28 2021