Why statically estimate code coverage is so hard?: a report of lessons learned (2015)
- Authors:
- Autor USP: GEROSA, MARCO AURÉLIO - IME
- Unidade: IME
- DOI: 10.1109/SBES.2015.28
- Subjects: ENGENHARIA DE SOFTWARE; DESENVOLVIMENTO DE SOFTWARE
- Keywords: public domain software; program diagnostics; program testing
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2015
- Source:
- Título: Proceedings
- Conference titles: Simpósio Brasileiro de Engenharia de Software = Brazilian Symposium on Software Engineering - SBES
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ANICHE, Mauricio Finavaro e OLIVA, Gustavo Ansaldi e GEROSA, Marco Aurélio. Why statically estimate code coverage is so hard?: a report of lessons learned. 2015, Anais.. Los Alamitos: IEEE, 2015. Disponível em: https://doi.org/10.1109/SBES.2015.28. Acesso em: 05 nov. 2024. -
APA
Aniche, M. F., Oliva, G. A., & Gerosa, M. A. (2015). Why statically estimate code coverage is so hard?: a report of lessons learned. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SBES.2015.28 -
NLM
Aniche MF, Oliva GA, Gerosa MA. Why statically estimate code coverage is so hard?: a report of lessons learned [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/SBES.2015.28 -
Vancouver
Aniche MF, Oliva GA, Gerosa MA. Why statically estimate code coverage is so hard?: a report of lessons learned [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/SBES.2015.28 - Recommending mentors to software project newcomers
- How to support newcomers onboarding to open source software projects
- A systematic literature review on the barriers faced by newcomers to open source software projects
- Are the methods in your data access objects (DAOs) in the right place?: a preliminary study
- Understanding and supporting the choice of an appropriate task to start with in open source software communities
- An empirical study of the relation between strong change coupling and defects using history and social metrics in the Apache Aries project
- A taxonomy of computer mediated conversation
- Pagamento atrai colaboradores de longo prazo ou prestadores de serviço?: Uma investigação inicial sobre o Google Summer of Code 2014
- Newcomers withdrawal in open source software projects: analysis of Hadoop common project
- Improving code quality on automated tests of web applications: a set of patterns
Informações sobre o DOI: 10.1109/SBES.2015.28 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
