Predicting software defect density:A case study on automated static code analysis

Autor: Marchenko, Artem, Abrahamsson, Pekka
Přispěvatelé: Concas, Giulio, Damiani, Ernesto, Scotto, Marco, Succi, Giancarlo
Jazyk: angličtina
Rok vydání: 2007
Předmět:
Zdroj: Marchenko, A & Abrahamsson, P 2007, Predicting software defect density : A case study on automated static code analysis . in G Concas, E Damiani, M Scotto & G Succi (eds), Agile Processes in Software Engineering and Extreme Programming : 8th International Conference, XP 2007 . Springer, Berlin-Heidelberg, Lecture Notes in Computer Science, vol. 4536, pp. 137-140, 8th International Conference on Agile Software Development, XP 2007, Como, Italy, 18/06/07 . https://doi.org/10.1007/978-3-540-73101-6_18
DOI: 10.1007/978-3-540-73101-6_18
Popis: The number of defects is an important indicator of software quality. Agile software development methods put an explicit requirement on automation and permanently low defect rates. Code analysis tools are seen as a prominent way to facilitate the defect prediction. There are only few studies addressing the feasibility of predicting a defect rate with the help of static code analysis tools in the area of embedded software. This study addresses the usefulness of two selected tools in the Symbian C++ environment. Five projects and 137 KLOC of the source code have been processed and compared to the actual defect rate. As a result a strong positive correlation with one of the tools was found. It confirms the usefulness of a static code analysis tool as a way for estimating the amount of defects left in the product.
Databáze: OpenAIRE