Auflistung nach Schlagwort "Program Comprehension"
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- ZeitschriftenartikelChallenges in Program Comprehension(Softwaretechnik-Trends: Vol. 32, No. 2, 2012) Tiarks, Rebecca; Röhm, TobiasRebecca Tiarks University of Bremen beccs@tzi.de Tobias R¨ ohm Technical University Munich roehm@in.tum.de March 8, 2012 Abstract
- KonferenzbeitragCollaborative Program Comprehension in Extended Reality(Software Engineering 2023, 2023) Krause-Glau, Alexander; Hansen, Malte; Hasselbring, WilhelmThis contribution has been published in the journal Information and Software Technology (Elsevier) in 2022 [KHH22], https://doi.org/10.1016/j.infsof.2022.107007.
- ConferencePaper#ifdef Directives and Program Comprehension: The Dilemma between Correctness and Preference(Software Engineering 2021, 2021) Fenske, Wolfram; Krüger, Jacob; Kanyshkova, Maria; Schulze, SandroIn this extended abstract, we summarize our paper with the homonymous title published at the International Conference on Software Maintenance and Evolution (ICSME) 2020.
- ZeitschriftenartikelValidierung der funktionalen Äquivalenz konvertierter JAVA Programme durch einen dynamischen Source-Abgleich(Softwaretechnik-Trends: Vol. 32, No. 2, 2012) Sneed, HarryHarry M. Sneed ANECON GmbH, Wien
- ZeitschriftenartikelViews for Efficient Program Understanding of Automotive Software(Softwaretechnik-Trends: Vol. 33, No. 2, 2013) Quante, JochenJochen Quante Robert Bosch GmbH Corporate Sector Research and Advance Engineering Software P. O. Box 30 02 40, 70442 Stuttgart, Germany Jochen.Quante@de.bosch.com Abstract
- ZeitschriftenartikelVisualization of API Experience (Extended Abstract)(Softwaretechnik-Trends Band 36, Heft 3, 2016) Aksu, Hakan; Lämmel, Ralf; Kwasnik, WojciechDevelopers differ in terms of the APIs that they are experienced in. Understanding such differences helps in balancing team structures and assigning developers to pending issues or hiring developers. In this extended abstract, we demonstrate how simple APIrelated, per-developer metrics can be visualized to give a quick overview on the API experiences of developers. Data extraction is based on mining the commit history in projects in terms of references to API elements (methods and types). We visualize experiences as maps and aster plots.
- ZeitschriftenartikelWhen Program Comprehension Met Bug Fixing(Softwaretechnik-Trends: Vol. 32, No. 2, 2012) Quante, JochenJochen Quante Corporate Sector Research and Advance Engineering Robert Bosch GmbH, Stuttgart, Germany Jochen.Quante@de.bosch.com Abstract