Auflistung nach:
Auflistung P310 - Software Engineering 2021 nach Titel
1 - 10 von 55
Treffer pro Seite
Sortieroptionen
- ConferencePaper18th Workshop on Automotive Software Engineering (ASE’21)(Software Engineering 2021, 2021) Ebel, Patrick; Helke, Steffen; Schaefer, Ina; Vogelsang, AndreasSoftware-based systems play an increasingly important role and enable most of the innovations in modern cars. This workshop deals with various topics related to the development of automotive software and discusses suitable methods, techniques, and tools necessary to master the most current challenges researchers and practitioners are facing.
- ConferencePaper2nd Workshop on Requirement Management in Enterprise Systems Projects (AESP’21)(Software Engineering 2021, 2021) Weiss, Christoph; Keckeis, JohannesERP systems and other enterprise systems are the backbone of any company in a digitized world. In almost every company Enterprise Systems are adapted to the needs of the customers within the scope of parameterization, modifications (changes to existing functions and logics) or even extensions (new developments of existing functions and logics). However, many of such Enterprise Systems projects fail due to missing, incorrect, inadequate or incomplete requirements there are "incorrect" expectations, divergents in definition and attitudes on requirements management between customers and suppliers. These challenges will be highlighted, talked over and discussed during this workshop.
- ConferencePaper3rd Workshop on Avionics Systems and Software Engineering (AvioSE’21)(Software Engineering 2021, 2021) Annighöfer, Björn; Schweiger, Andreas; Reich, MarinaSoftware development in the aerospace domain is driven by new application potentials, increasing complexity, rising certification effort, and increasing cost pressure. In particular, future applications such as e.g., autonomous air transport, aircrew workload reduction, commercial UAVs, and further enhancement of existing functionality add to the system complexity. At the same time, there are challenges in communication and navigation in airspace, certification for multi-core processors, artificial intelligence as well as security for software, hardware, and connectivity. New software development methodologies and techniques are required for dealing with these challenges.
- ConferencePaper8th Collaborative Workshop on Evolution and Maintenance of Long-Living Software Systems (EMLS'21)(Software Engineering 2021, 2021) Heinrich, Robert; Jung, Reiner; Konersmann, Marco; Schmieders, EricSoftware ist ein wesentlicher Bestandteil unseres täglichen Lebens. Mobilität, Energie, Wirtschaft, Produktion und Infrastruktur hängen stark von Software ab, die allerdings nicht immer von hoher Qualität ist. Kritische Probleme, wie Effizienzeinbrüche oder hohe Wartungsaufwände, können durch schlechte Softwarequalität verursacht werden. Beispiele sind vielfältig in der Presse zu finden. Qualitätseigenschaften hängen stark von Entwurfsentscheidungen bzgl. der Architektur eines Systems ab. Um eine hohe Qualität bei der Systemevolution zu gewährleisten, sind Forschung und Praxis an Ansätzen interessiert, mit denen verschiedene Entwurfsalternativen modelliert und analysiert werden können. Dieser Beitrag zeigt Herausforderungen bei der architektur-basierten Evolution von software-intensiven Systemen auf. Es werden Modellierungs- und Analysetechniken vorgestellt, die zur Untersuchung verschiedener Qualitätseigenschaften auf Architekturebene geeignet sind. Darüber hinaus werden Modularisierungskonzepte für Sprachen (definiert durch Metamodelle) und Analysetechniken vorgestellt. Diese führen zur ersten Referenzarchitektur für Metamodelle zur Qualitätsmodellierung und -analyse.
- ConferencePaperAccurate Modeling of Performance Histories for Evolving Software Systems(Software Engineering 2021, 2021) Mühlbauer, Stefan; Apel, Sven; Siegmund, NorbertThis work has been originally published in the proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). Learning from the history of a software system’s performance behavior does not only help discovering and locating performance bugs, but also supports identifying evolutionary performance patterns and general trends. Exhaustive regression testing is usually impractical, because rigorous performance benchmarking requires executing realistic workloads per revision, resulting in large execution times. We devise a novel active revision sampling approach that aims at tracking and understanding a system’s performance history by approximating the performance behavior of a software system across all of its revisions. In short, we iteratively sample and measure the performance of specific revisions to learn a performance-evolution model. We select revisions based on how uncertainty our models predicts their correspondent performance values. Technically, we use Gaussian Process models that not only estimates performance for each revision, but also provides an uncertainty value alongside. This way, we iteratively improve our model with only few measurements. Our evaluation with six real-world configurable software system demonstrates that Gaussian Process models are able to accurately estimate the performance-evolution histories with only few measurements and to reveal interesting behaviors and trends, such as change points.
- ConferencePaperAre Unit and Integration Test Definitions Still Valid for Modern Java Projects? An Empirical Study on Open-Source Projects(Software Engineering 2021, 2021) Trautsch, Fabian; Herbold, Steffen; Grabowski, JensThe article "Are unit and integration test definitions still valid for modern Java projects? An empirical study on open-source projects" published in the Journal of Systems and Software in 2020 presents the results of our investigations of the defect detection capability of unit and integration tests. While the software development context evolved over time, the definitions of unit and integration tests remained unchanged. There is no empirical evidence, if these commonly used definitions still fit to modern software development. We evaluate if the existing standard definitions of unit and integration tests are still valid in modern software development context through the analysis of the defect types that are detected, because there should be differences according to the standard literature. We classify test cases according to the definition of the IEEE and use mutation testing to assess their defect detection capabilities. We could not find any evidence that one test type is more capable of detecting certain defect types than the other one. This implies that we need to reconsider the definitions of unit and integration tests and suggest that the current property-based definitions may be exchanged with usage-based definitions.
- ConferencePaperAutomated Implementation of Windows-related Security-Configuration Guides(Software Engineering 2021, 2021) Stöckle, Patrick; Grobauer, Bernd; Pretschner, AlexanderDieser Vortrag wurde auf der 35. IEEE/ACM International Conference on Automated Software Engineering (ASE) präsentiert. Unsicher konfigurierte Geräte stellen ein großes Sicherheitsproblem dar. Eine Möglichkeit, dieses Problem zu lösen, sind öffentlich verfügbare und standartisierte Sicherheitskonfigurationsrichtlinien. Dieser Ansatz birgt jedoch die Schwierigkeit, dass Administratoren auf Basis der Anleitungen in diesen Richtlinien ihre Systeme manuell sichern müssen. Dieses manuelle Sichern ist teuer und fehleranfällig. In unserem Beitrag präsentieren wir einen Ansatz, mit dem wir Richtlinien für Windows-Systeme automatisiert anwenden können. Dafür wenden wir Techniken der Sprachverarbeitung an. Im ersten Teil unserer Evaluation können wir anhand einer öffentlichen Richtlinie für Windows 10 zeigen, dass unser Ansatz für 83% der Regeln keinerlei menschliche Interaktion benötigt. Im zweiten Teil zeigen wir anhand von 12 öffentlichen Richtlinien mit über 2000 Regeln, dass unser Ansatz die Regeln zu 97% korrekt anwendet. So wird die sichere Konfiguration von Windows-Systemen einfacher und wir hoffen, dass dies zukünftig zu weniger Sicherheitsvorfällen führen wird.
- ConferencePaperAutomated Large-scale Multi-language Dynamic Program Analysis in the Wild(Software Engineering 2021, 2021) Villazón, Alex; Sun, Haiyang; Rosà, Andrea; Rosales, Eduardo; Bonetta, Daniele; Defilippis, Isabella; Oporto, Sergio; Binder, WalterOur paper published in the proceedings of the 33rd European Conference on Object-Oriented Programming (ECOOP 2019) proposes NAB, a novel framework to execute custom dynamic analysis on open-source software hosted in public repositories. The publication is complemented by an accepted artifact. Analyzing today’s large code repositories has become an important research area for understanding and improving different aspects of modern software systems. Despite the presence of a large body of work on mining code repositories through static analysis, studies applying dynamic analysis to open-source projects are scarce and of limited scale. Nonetheless, being able to apply dynamic analysis to the projects hosted in public code repositories is fundamental for large-scale studies on the runtime behavior of applications, which can greatly benefit the programming-language and software-engineering communities. NAB is fully automatic, language-agnostic, and scalable. We describe NAB’s key features and architecture. We also present three case studies on more than 56K Node.js, Java, and Scala projects, enabling us to 1) understand how developers use JavaScript Promises, 2) identify bad coding practices in JavaScript applications, and 3) locate task-parallel Java and Scala workloads suitable for inclusion in a domain-specific benchmark suite. A preliminary version of NAB is available at http://dag.inf.usi.ch/software/nab/
- ConferencePaperAutomated Reuse of Test Cases for Highly Configurable Software Systems(Software Engineering 2021, 2021) Fischer, Stefan; Michelon, Gabriela Karoline; Ramler, Rudolf Ramler; Linsbauer, Lukas; Egyed, AlexanderIn this work, we report about our research results initially published in the journal Empirical Software Engineering, volume 25, issue 6, pp. 5295–5332, November 2020, https://doi.org/10.1007/s10664-020-09884-x. We performed experiments on test reusability across configurations of highly configurable software systems. First, we used manually written tests for specific configurations of three configurable systems and investigated how changing configuration options affects these tests. Subsequently, we applied an approach developed for automated reuse, ECCO (Extraction and Composition for Clone-and-Own), to automatically generate tests for new configurations from the existing, manually written tests. The experiments showed that our generated tests had a higher or equal success rate compared to direct reuse and they generally achieved a higher code coverage. It can be concluded that automating the reuse of tests for configurable software can substantially reduce the effort for adapting existing tests and it supports a rigorous testing process.
- ConferencePaperBehavioral Interfaces for Executable DSLs(Software Engineering 2021, 2021) Leroy, Dorian; Bousse, Erwan; Wimmer, Manuel; Mayerhofer, Tanja; Combemale, Benoit; Schwinger, WielandThis work summarizes our paper [Le20] originally published in the Journal of Software and Systems Modeling in 2020 about a novel language engineering approach.