Software product lines (SPL) aim at reducing time-to-market and increasing software quality through extensive, planned reuse of artifacts. An essential activity in SPL is variability management, i.e., defining and managing commonality and variability among member products. Due to the large scale and complexity of today's software-intensive systems, variability management has become increasingly complex to conduct. Accordingly, tool support for variability management has been gathering increasing momentum over the last few years and can be considered a key success factor for developing and maintaining SPLs. While several studies have already been conducted on variability management, none of these analyzed the available tool support in detail. In this work, we report on a survey in which we analyzed 37 existing variability management tools identified using a systematic literature review to understand the tools’ characteristics, maturity, and the challenges in the field. We conclude that while most studies on variability management tools provide a good motivation and description of the research context and challenges, they often lack empirical data to support their claims and findings. It was also found that quality attributes important for the practical use of tools such as usability, integration, scalability, and performance were out of scope for most studies.

/pdf/case-tool-support-for-variability-management-in-software-59hhk1prlq.pdf

CASE Tool Support for Variability Management in Software Product Lines

Context: The quality of an Systematic Literature Review (SLR) is as good as the quality of the reviewed papers. Hence, it is vital to rigorously assess the papers included in an SLR. There has been no tertiary study aimed at reporting the state of the practice of quality assessment used in SLRs in Software Engineering (SE).Objective: We aimed to study the practices of quality assessment of the papers included in SLRs in SE.Method: We conducted a tertiary study of the SLRs that have performed quality assessment of the reviewed papers.Results: We identified and analyzed different aspects of the quality assessment of the papers included in 127 SLRs.Conclusion: Researchers use a variety of strategies for quality assessment of the papers reviewed, but report little about the justification for the used criteria. The focus is creditability but not relevance aspect of the papers. Appropriate guidelines are required for devising quality assessment strategies.

Quality assessment of systematic reviews in software engineering: a tertiary study

Empirical research methodologies and studies in Requirements Engineering: How far did we come?

Runtime adaptive systems are able to dynamically transform their internal structure, and hence their behavior, in response to internal or external changes. Such transformations provide the basis for new functionalities or improvements of the non-functional properties that match operational requirements and standards. Software Product Line Engineering (SPLE) has introduced several models and mechanisms for variability modeling and management. Dynamic software product lines (DSPL) engineering exploits the knowledge acquired in SPLE to develop systems that can be context-aware, post-deployment reconfigurable, or runtime adaptive. This paper focuses on DSPL engineering approaches for developing runtime adaptive systems and proposes a framework for classifying and comparing these approaches from two distinct perspectives: adaptation properties and adaptation realization. These two perspectives are linked together by a series of guidelines that help to select a suitable adaptation realization approach based on desired adaptation types.

https://www.worldscientific.com/doi/pdf/10.1142/S0218194017500085

Dynamic Software Product Line Engineering: A Reference Framework

This paper aims to present the challenges in the use of Virtual Reality and Augmented Reality by schools. It is presented these technologies and the main challenges to be overcome to become part of the educational context daily. It discuss the difficulties faced by the teachers to generate content; the tools and the software process development to Virtual Reality and Augmented Reality applications; and the cost required. At last, it is presented some educational examples of applications based on Virtual Reality and Augmented Reality

/pdf/desafios-para-o-uso-de-realidade-virtual-e-aumentada-de-4yo40oh05u.pdf

Desafios para o uso de Realidade Virtual e Aumentada de maneira efetiva no ensino

Dynamic Software Product Lines (DSPLs) are SPLs in which the product configuration may occur at runtime. Over the last decade, DSPL has gained the interest of researchers as a way of modelling and developing dynamically adaptive systems. We have conducted a systematic mapping to discover how variability is modelled in DSPL approaches and which information is used to guide variability binding at runtime. This paper presents the results of our systematic mapping, which can be used to identify research trends and gaps for variability management in DSPLs.

Variability Management in Dynamic Software Product Lines: A Systematic Mapping

The iStarTool supports the graphical modeling of i* Framework. With a view to decrease the learning curve of i* models as well as to improve their quality, we provided the syntax checking feature. The tool allows the construction of valid models according to constraints and good practices guidelines. It is been developed using the open-source Eclipse platform and model-driven technologies, such as the Graphical Modeling Framework (GMF).

/pdf/istartool-modeling-requirements-using-the-i-framework-r198jsvnhc.pdf

iStarTool: Modeling requirements using the i* framework

Dynamic Software Product Lines (DSPLs) are Software Product Lines (SPLs) in which the configuration may occur at runtime. DSPL approaches provide means for modeling variability as well as configuring the product according to its runtime context and/or non-functional requirements (NFRs) satisfaction. In this paper, we present a Requirements Engineering (RE) approach for DSPL, ConG4DaS (Contextual Goal models For Dynamic Software product lines), which provides: (i) models for capturing variability with goals, NFRs, contexts and the relationship between them; and (ii) a configuration process that takes contexts, NFRs and their priority and interactions into account. We have used simulation based assessment to compare ConG4DaS with another approach, REFAS (Requirements Engineering For self-Adaptive Software systems), with respect to the satisfaction level of the highest priority softgoal. For the comparison, we modeled two DSPL examples and simulated different scenarios where reconfiguration is necessary. Next, we compared the configurations selected by the approaches with respect to overall NFRs' satisfaction. The results showed that ConG4DaS, which uses utility function in the configuration process, selects configurations that better satisfy NFRs compared to REFAS, which uses constraint programming.

Comparing Configuration Approaches for Dynamic Software Product Lines

GS2SPL: Goals and Scenarios to Software Product Lines.

In the literature, there are available proposals that aim to contribute to bridge the gap between user interface designers and software engineers. These proposals attempt to produce architectural solutions that successfully address the usability requirements. The objective of this paper is report the planning, execution and the results of a systematic review regarding the works about usability and software architecture. We investigated the definitions, the relationship between these two areas, the impact, problems, methods, tools, reports of success or failure, and finally, the contributions of existing solutions to the academy and the industry. From the 22 selected studies, it was possible to confirm that usability has an impact on software architecture. The methods used to bridge the gap between these areas use mainly patterns, scenarios, and usability evaluation of the architecture. Furthermore, it is possible to conclude that the proposed methods and tools require more empirical evidence.

Usability and Software Architecture: A Literature Review

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