arXiv subjects

Sandro Schulze

Publications and source records attributed to Sandro Schulze.

2 recordsLinked to original sources

arXiv2026

No One Left Behind: Cross-Level Analysis for Sustainable Software Engineering

Software engineers expect a software system to be efficient, maintainable, economically viable, and socially responsible throughout its lifecycle. Unfortunately, decisions made at the organizational, process, or product levels of software development - even when they improve one of these goals - often have unintended long-term consequences at other levels. In response, software-engineering research has explored different ways to achieve software sustainability, including energy efficiency, resource optimization, and code maintainability. However, existing research offers limited explanations for how sustainability problems emerge and reinforce one another across the socio-technical levels of software engineering. Moreover, we argue that sustainability challenges are not isolated but rather systemic: They stem from interactions among organizational priorities, development practices, and technical conditions. In this vision paper, we introduce the concept of sustainability antipatterns to capture conditions that systematically produce unsustainable outcomes. We demonstrate how this concept can help expose cross-level misalignments between socio-technical levels and sustainability dimensions that remain difficult to recognize through artifact-centric or dimension-specific analyses. To guide future research, we outline concrete directions for identifying, formalizing, detecting, and mitigating sustainability anti-patterns. We envision sustainability anti-patterns as a foundation for an integrated and actionable research agenda on sustainable software engineering.

cs.SE↗

arXiv2022

T-Wise Presence Condition Coverage and Sampling for Configurable Systems

Sampling techniques, such as t-wise interaction sampling are used to enable efficient testing for configurable systems. This is achieved by generating a small yet representative sample of configurations for a system, which circumvents testing the entire solution space. However, by design, most recent approaches for t-wise interaction sampling only consider combinations of configuration options from a configurable system's variability model and do not take into account their mapping onto the solution space, thus potentially leaving critical implementation artifacts untested. Tartler et al. address this problem by considering presence conditions of implementation artifacts rather than pure configuration options, but do not consider the possible interactions between these artifacts. In this paper, we introduce t-wise presence condition coverage, which extends the approach of Tartler et al. by using presence conditions extracted from the code as basis to cover t-wise interactions. This ensures that all t-wise interactions of implementation artifacts are included in the sample and that the chance of detecting combinations of faulty configuration options is increased. We evaluate our approach in terms of testing efficiency and testing effectiveness by comparing the approach to existing t-wise interaction sampling techniques. We show that t-wise presence condition sampling is able to produce mostly smaller samples compared to t-wise interaction sampling, while guaranteeing a t-wise presence condition coverage of 100%.

cs.SE↗