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Background: This paper documents an unsuccessful attempt to develop a comprehensive artefact to mitigate software product variability in complex organisational contexts. The narrative falls into two parts: the endeavour to create the artefact; and the ...

When variability is directly implemented in a single codebase with languages supporting many different mechanisms, its identification and comprehension are impeded by the absence of documentation, their scattered locations, and obviously, their ...

Understanding variability in large software systems poses significant challenges for developers, especially when variability is implemented within a single codebase using diverse language mechanisms like in TypeScript. In this language, one can implement ...

Tracing features to software artifacts is a crucial yet challenging activity for developers of variability-intensive software projects. Developers can provide feature traces either proactively in a manual and rarely semi-automated way or recover them ...

Diff tools are essential in developers' daily workflows and software engineering research. Motivated by limitations of traditional line-based differencing, countless specialized diff tools have been proposed, aware of the underlying artifacts' type, such ...

Software is subject to changes and revisions during its development life cycle. For configurable software systems, changes may be made to functionality of source code as well as variability information such as code-to-feature mappings. To explain how ...

The goal of sample-based testing of variant-rich software systems is to reduce usually very large configuration spaces to significantly smaller, yet still representative subsets of configurations to be tested for quality assurance. Recent sampling ...

Software systems are subject to frequent changes, for example to fix bugs or meet new customer requirements. In variational software systems, developers are confronted with the complexity of evolution and configurability on a daily basis; essentially ...

In many applications of Computational Science and especially Data Science, notebooks are the cornerstone of knowledge and experiment sharing. Their diversity is multiple (problem addressed, input data, algorithm used, overall quality) and is not made ...

Software variability engineering benefits from Machine Learning (ML) to learn e.g., variability-aware performance models, explore variants of interest and minimize their energy impact. As the number of applications of combining variability with ML ...

Software variability is largely accepted and explored in software engineering and seems to have become a norm and a must, if only in the context of product lines. Yet, the removal of superfluous or unneeded software artefacts and functionalities is an ...

For highly configurable software systems, such as the Linux kernel, maintaining and evolving variability information along changes to source code poses a major challenge. While source code itself may be edited, also feature-to-code mappings may be ...

Many large-scale software systems intensively implement variability to reuse software and speed up development. Such mechanisms, however, bring additional complexity, which eventually leads to technical debt, threatening the software quality, and ...

Object-Oriented (OO) variability-rich software systems often implement their variability in a single codebase, using the mechanisms provided by the host language (i.e., inheritance, overloading, design patterns). This variability is not documented and ...

Software variability is the ability of a software system to be customized or configured for a particular context. In this paper, we discuss our experience investigating software variability implementation challenges in practice. Eclipse OMR, developed ...

Many modern software systems are highly configurable, allowing the user to tune them for performance and more. Current performance modeling approaches aim at finding performance-optimal configurations by building performance models in a black-box ...

Microservices is an emerging industrial technique to promote better modularization and management of small and autonomous services. Microservice architecture is widely used to overcome the limitations of monolithic legacy systems, such as limited ...

Software product line (SPL) engineers put a lot of effort to ensure that, through the setting of a large number of possible configuration options, products are acceptable and well-tailored to customers' needs. Unfortunately, options and their mutual ...

The evolution of variant-rich systems is a challenging task. To support developers, the research community has proposed a range of different techniques over the last decades. However, many techniques have not been adopted in practice so far. To advance ...

We believe that assistance and service robots are a major technological trend that could lead to a spread similar to smartphones today. Thus, it could be normal to have such a robot at home to support people during their daily life. The main challenge ...