Divide and Conquer the EmpiRE: A Community-Maintainable Knowledge Graph of Empirical Research in Requirements Engineering
[Background.] Empirical research in requirements engineering (RE) is a constantly evolving
topic, with a growing number of publications. Several papers address this topic using …
topic, with a growing number of publications. Several papers address this topic using …
[HTML][HTML] Guiding the selection of research methodology in industry–academia collaboration in software engineering
Background: The literature concerning research methodologies and methods has increased
in software engineering in the last decade. However, there is limited guidance on selecting …
in software engineering in the last decade. However, there is limited guidance on selecting …
Search-based fairness testing for regression-based machine learning systems
Context Machine learning (ML) software systems are permeating many aspects of our life,
such as healthcare, transportation, banking, and recruitment. These systems are trained with …
such as healthcare, transportation, banking, and recruitment. These systems are trained with …
Critical scenario identification for realistic testing of autonomous driving systems
Autonomous driving has become an important research area for road traffic, whereas testing
of autonomous driving systems to ensure a safe and reliable operation remains an open …
of autonomous driving systems to ensure a safe and reliable operation remains an open …
Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system
Integration of machine learning (ML) components in critical applications introduces novel
challenges for software certification and verification. New safety standards and technical …
challenges for software certification and verification. New safety standards and technical …
[HTML][HTML] Towards optimization of anomaly detection in DevOps
A Hrusto, E Engström, P Runeson - Information and Software Technology, 2023 - Elsevier
Context: DevOps has recently become a mainstream solution for bridging the gaps between
development (Dev) and operations (Ops) enabling cross-functional collaboration. The …
development (Dev) and operations (Ops) enabling cross-functional collaboration. The …
Design of a data management reference architecture for sustainable agriculture
Effective and efficient data management is crucial for smart farming and precision
agriculture. To realize operational efficiency, full automation, and high productivity in …
agriculture. To realize operational efficiency, full automation, and high productivity in …
Getting Started with Chaos Engineering-design of an implementation framework in practice
H Jernberg, P Runeson, E Engström - Proceedings of the 14th ACM …, 2020 - dl.acm.org
Background. Chaos Engineering is proposed as a practice to verify a system's resilience
under real, operational conditions. It employs fault injection, is originally developed at …
under real, operational conditions. It employs fault injection, is originally developed at …
An exploratory case study using events as a software size measure
T Hacaloglu, O Demirors - Information Technology and Management, 2023 - Springer
Abstract Software Size Measurement is a critical task in Software Development Life Cycle
(SDLC). It is the primary input for effort estimation models and an important measure for …
(SDLC). It is the primary input for effort estimation models and an important measure for …
Closing the feedback loop in devops through autonomous monitors in operations
A Hrusto, P Runeson, E Engström - SN Computer Science, 2021 - Springer
DevOps represent the tight connection between development and operations. To address
challenges that arise on the borderline between development and operations, we conducted …
challenges that arise on the borderline between development and operations, we conducted …