In this extended abstract, we discuss the Journal First summary of our work published in the Journal of Software: Practice and Experience (SPE) [1].

Testing highly-configurable software systems (i.e., software product lines) is challenging due to their large configuration space. T-wise sampling is one method of finding a representative subset of configurations for a system, which can then be tested. ...

In SaaS applications, which are mainly built following a multi-tenant architecture, the support of service variability among tenants is limited. It is due to the principle of sharing the same instance of the SaaS service between the tenants; thus, the ...

This is an extended abstract of the article: Axel Halin, Alexandre Nuttinck, Mathieu Acher, Xavier Devroey, Gilles Perrouin, and Benoit Baudry. 2018. Test them all, is it worth it? Assessing configuration sampling on the JHipster Web development stack. ...

Combining microservices and software product line engineering (SPLE) is a challenge in variability management. This paper proposes a solution to that challenge by re-engineering existing webshop systems into a product line application. We first perform ...

Microservices are deployable software artifacts that combine a set of business features and expose them to other microservices. Ideally, the reuse and interchanging of microservices should be easy as they are supposed to be independent of each other, ...

This tutorial introduces the EASy-Producer product line environment. EASy-Producer is an open-source toolset for engineering product lines, variability-rich software ecosystems, and dynamic software product lines. In particular, it features a ...

The goal of this tutorial is to give a gentle introduction to how machine learning can be used to support software product line configuration. This is our second practical tutorial in this trending field. The tutorial is based on a systematic literature ...

Motivated by experiences from different industrial settings, the tutorial reveals the increasing need for guidance and decision support on how to handle variants and variability in SysML and UML models. While a substantial amount of variability ...

This tutorial explores the impact of the socio-economic trends of customization and mass personalization on software reuse through software product line development.

Families of related MATLAB/Simulink systems commonly emerge ad hoc using clone-and-own practices. Extractively migrating systems towards a software product line (SPL) can be a remedy. A feature model (FM) represents all potential configurations of an ...

Software is often released in multiple variants to address the needs of different customers or application scenarios. One frequent approach to create new variants is clone-and-own, whose systematic support has gained considerable research interest in ...

Software Product Lines (SPLs) are rarely developed from scratch. Commonly, they emerge from monolithic architectures when there is a need to create tailored variants, or from existing variants created in an ad-hoc way once their separated maintenance ...

Process models for software product-line engineering focus on proactive adoption scenarios---that is, building product-line platforms from scratch. They comprise the two phases domain engineering (building a product-line platform) and application ...

Model-based product line engineering applies the reuse practices from product line engineering with graphical modeling for the specification of software intensive systems. Variability is usually described in separate variability models, while the ...

Software product line supports structured reuse of software artifacts in order to realize the maintenance and evolution of the typically large number of variants, which promotes the industrialization of software development, especially for software-...

Continuous Integration (CI) is a practice widely adopted in the industry to allow frequent integration of code changes. During the CI process, many test cases are executed multiple times a day, subject to time constraints. In this scenario, a learning-...

Mutation testing can effectively drive test generation to reveal faults in software systems. However, it faces a typical efficiency issue as it can produce many mutants that are equivalent to the original system, making it impossible to generate test ...

Incremental satisfiability (SAT) solving is an extension of classic SAT solving that allows users to efficiently solve a set of related SAT problems by identifying and exploiting shared terms. However, using incremental solvers effectively is hard since ...

A software product line (SPL) enables large-scale reuse in a family of related software systems through configurable features. SPLs represent a long-term investment so that their ongoing evolution becomes paramount and requires careful planning. While ...