Comparing the effectiveness of equivalence partitioning, branch testing and code reading by stepwise abstraction applied by subjects


Autoria(s): Juristo Juzgado, Natalia; Vegas Hernandez, Sira; Solari Buela, Martín; Abrahao, Silvia; Ramos, Isabel
Data(s)

2012

Resumo

Some verification and validation techniques have been evaluated both theoretically and empirically. Most empirical studies have been conducted without subjects, passing over any effect testers have when they apply the techniques. We have run an experiment with students to evaluate the effectiveness of three verification and validation techniques (equivalence partitioning, branch testing and code reading by stepwise abstraction). We have studied how well able the techniques are to reveal defects in three programs. We have replicated the experiment eight times at different sites. Our results show that equivalence partitioning and branch testing are equally effective and better than code reading by stepwise abstraction. The effectiveness of code reading by stepwise abstraction varies significantly from program to program. Finally, we have identified project contextual variables that should be considered when applying any verification and validation technique or to choose one particular technique.

Formato

application/pdf

Identificador

http://oa.upm.es/20727/

Idioma(s)

eng

Publicador

Facultad de Informática (UPM)

Relação

http://oa.upm.es/20727/1/INVE_MEM_2012_133158.pdf

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6200089

info:eu-repo/semantics/altIdentifier/doi/10.1109/ICST.2012.113

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

2012 IEEE Fifth International Conference on Software Testing, Verification and Validation (ICST) | Software Testing, Verification and Validation (ICST), 2012 IEEE Fifth International Conference on | 17/04/2012 - 21/04/2012 | Montreal, QC

Palavras-Chave #Informática
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed