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Auflistung P332 - Software Engineering 2023 nach Erscheinungsdatum
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- Konferenzbeitrag20th Workshop on Automotive Software Engineering (ASE’23)(Software Engineering 2023, 2023) Kugele, Stefan; Grunske, LarsSoftware-based systems play an increasingly important role and enable most innovations in modern cars. This workshop will address various topics related to automotive software development. The participants will discuss appropriate methods, techniques, and tools needed to address the most current challenges for researchers and practitioners.
- KonferenzbeitragVariational Satisfiability Solving: Efficiently Solving Lots of Related SAT Problems - Summary(Software Engineering 2023, 2023) Young, Jeffrey M.; Bittner, Paul Maximilian; Walkingshaw, Eric; Thüm, ThomasWe report about recent research on satisfiability solving for variational domains, originally published in 2022 in the Empirical Software Engineering Journal (EMSE) within the special issue on configurable systems[ Yo22]. Incremental SAT solving is an extension of classic SAT solving that enables solving a set of related SAT problems by identifying and exploiting shared terms. However, using incremental solvers effectively is hard since performance is sensitive to the input order of subterms and results must be tracked manually. This paper translates the ordering problem to an encoding problem and automates the use of incremental solving. We introduce variational SAT solving, which differs from incremental solving by accepting all related problems as a single variational input and returning all results as a single variational output. Variational SAT solving automates the interaction with the incremental solver and enables a method to automatically optimize sharing in the input. We formalize a variational SAT algorithm, construct a prototype variational solver, and perform an empirical analysis on two real-world datasets that applied incremental solvers to software evolution scenarios. We show that the prototype solver scales better for these problems than four off-the-shelf incremental solvers while also automatically tracking individual results.
- KonferenzbeitragiStar-Erweiterung für kollaborative cyber-physische Systeme(Software Engineering 2023, 2023) Daun, Marian; Brings, Jennifer; Krajinski, Lisa; Stenkova, Viktoria; Bandyszak, TorstenDieser Vortrag berichtet von dem Beitrag A GRL-compliant iStar extension for collaborative cyber-physical systems [Da21], der im Februar 2021 in der Fachzeitschrift Requirements Engineering erschienen ist.
- KonferenzbeitragExploring the relationship between performance metrics and cost saving potential of defect prediction models(Software Engineering 2023, 2023) Tunkel, Steffen; Herbold, SteffenWe summarize the article Exploring the relationship between performance metrics and cost saving potential of defect prediction models [TH22], which was published in Empirical Software Engineering in 2022.
- KonferenzbeitragOn the Subjectivity of Emotions in Software Projects: How Reliable are Pre-Labeled Data Sets for Sentiment Analysis? (Summary)(Software Engineering 2023, 2023) Herrmann, Marc; Obaidi, Martin; Chazette, Larissa; Klünder, JilSocial aspects (e.g., the sentiment of developers) are important for software development. In order to automatically analyze sentiments, sentiment analysis tools use machine learning methods that require data sets labeled according to emotion or polarity. As these labeled data sets strongly influence the tools’ accuracy, we investigate whether the labels match developers’ perceptions. For this purpose, we conducted an international survey with 94 participants who labeled 100 statements. We compare the median as well as every single participant’s perception with the labels. The results show that the median perception of all participants coincides with the predefined labels for 62.5% of the statements, and that the difference between the single participant’s ratings and the labels is even worse. This summary refers to the paper with the title “On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?” [He22b]. It was published in the Journal of Systems and Software (JSS) in 2022 peer-reviewed.
- KonferenzbeitragExplainable Online Reinforcement Learning for Adaptive Systems(Software Engineering 2023, 2023) Feit, Felix; Metzger, Andreas; Pohl, KlausThis talk presents our work on explainable online reinforcement learning for self-adaptive systems published at the 3rd IEEE Intl. Conf. on Autonomic Computing and Self-Organizing Systems.
- KonferenzbeitragEvaluation Methods and Replicability of Software Architecture Research Objects(Software Engineering 2023, 2023) Konersmann, Marco; Kaplan, Angelika; Kühn, Thomas; Heinrich, Robert; Koziolek, Anne; Reussner, Ralf; Jürjens, Jan; al-Doori, Mahmood; Boltz, Nicolas; Ehl, Marco; Fuchß, Dominik; Großer, Katharina; Hahner, Sebastian; Keim, Jan; Lohr, Matthias; Sağlam, Timur; Schulz, Sophie; Töberg, Jan-PhilippOur paper at the 19th IEEE International Conference on Software Architecture (ICSA 2022) started by noticing that Software Architecture (SA) as research area experienced an increase in empirical research. Empirical research builds a sound foundation for validity and comparability. A current overview of the evaluation and replicability of SA research objects could help to discuss our empirical standards as a community. However, no current overview existed. We assessed the current state of practice of evaluating SA research objects and replication artifact provision in full technical conference papers from ICSA and the European Conference on Software Architecture (ECSA) 2017–2021. We first developed a categorization schema for SA research object evaluation and artifact provisioning. In a systematic literature review with 153 papers, we then classified the papers according to that schema. From our findings we derive and describe four proposals for improving the state of practice in evaluating SA research objects.
- KonferenzbeitragBeDivFuzz: Integrating Behavioral Diversity into Generator-based Fuzzing - Summary(Software Engineering 2023, 2023) Nguyen, Hoang Lam; Grunske, LarsThis paper summarizes our work ”BeDivFuzz: Integrating Behavioral Diversity into Generator-based Fuzzing” [NG22], presented at the 44th International Conference on Software Engineering (ICSE 2022).
- KonferenzbeitragHacking or Engineering? Towards an Extended Entrepreneurial Software Engineering Model(Software Engineering 2023, 2023) Kuhrmann, Marco; Münch, Jürgen; Klünder, JilEntrepreneurial software engineering gains increasing interest in research and practice, as it is not necessary to be an experienced software engineer to start a software startup. Nevertheless, there are (e.g., quality and security) requirements that need to be fulfilled. Based on a proposed solution fo a systematic software development for early-stage startups, we identify the methodological and technical priorities of software startups. This summary refers to the paper “Hacking or Engineering? Towards an Extended Entrepreneurial Software Engineering Model” [KMK22]. This paper was published in the proceedings of the International Conference on Software and Systems Processes 2022.
- Konferenzbeitrag5th Workshop on Avionics Systems and Software Engineering (AvioSE’23)(Software Engineering 2023, 2023) Annighoefer, Bjoern; Schweiger, Andreas; Poulaine, StéphaneSystems and software engineering in aerospace is subject to special challenges. For their resolution the AvioSE’23 workshop connects academia and industry with selected scientific presentations of high quality, motivating keynote talks, and an interactive panel discussion.