start-ver=1.4
cd-journal=joma
no-vol=19
cd-vols=
no-issue=2
article-no=
start-page=58
end-page=64
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2017
dt-pub=201703
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Probing Software Engineering Beliefs about System Testing Defects: Analyzing Data for Future Directions
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= Research findings are often expressed as short startling sentences or software engineering (SE) beliefs such as gabout 80 percent of the defects come from 20 percent of the modulesh and gpeer reviews catch 60 percent of the defectsh [2]. Such SE beliefs are particularly important in industry, as they are attention-getting, easily understandable, and thus practically useful. In this paper we examine the power of such SE beliefs to justify process improvement through empirical validation of selected beliefs related to the increase or decrease of defects in system testing. We explore four basic SE beliefs in data from two midsize embedded software development organizations in Japan, and based on this information, identify possible process improvement actions for each organization. Based on our study, even small and medium-sized enterprises (SMEs) can use this approach to find possible directions to improve their process, which will result in better products.
en-copyright=
kn-copyright=

en-aut-name=MondenAkito
en-aut-sei=Monden
en-aut-mei=Akito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=TsunodaMasateru
en-aut-sei=Tsunoda
en-aut-mei=Masateru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=BarkerMike
en-aut-sei=Barker
en-aut-mei=Mike
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MatsumotoKenichi
en-aut-sei=Matsumoto
en-aut-mei=Kenichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Informatics, Faculty of Science and Engineering, Kindai University
kn-affil=

affil-num=3
en-affil=Graduate School of Information Science, Nara Institute of Science and Technology
kn-affil=

affil-num=4
en-affil=Graduate School of Information Science, Nara Institute of Science and Technology
kn-affil=
en-keyword=D.2.19 Software Quality/SQA
kn-keyword=D.2.19 Software Quality/SQA
en-keyword=D.2.8.c Process metrics
kn-keyword=D.2.8.c Process metrics
END