Experimenting traditional and modern reliability models in a 3-years european software project
Tutkimustuotos › › vertaisarvioitu
Standard
Experimenting traditional and modern reliability models in a 3-years european software project. / Tosi, Davide; Lenarduzzi, Valentina; Morasca, Sandro; Taibi, Davide.
Proceedings of the 11th European Conference on Information Systems Management, ECISM 2017. Academic Conferences and Publishing International Limited, 2017. s. 304-314.Tutkimustuotos › › vertaisarvioitu
Harvard
APA
Vancouver
Author
Bibtex - Lataa
}
RIS (suitable for import to EndNote) - Lataa
TY - GEN
T1 - Experimenting traditional and modern reliability models in a 3-years european software project
AU - Tosi, Davide
AU - Lenarduzzi, Valentina
AU - Morasca, Sandro
AU - Taibi, Davide
PY - 2017
Y1 - 2017
N2 - Reliability is a very important non-functional aspect for software systems and artefacts. In literature, several definitions of software reliability exist and several methods and approaches exist to measure reliability of a software project. However, in the literature no works focus on the applicability of these methods in all the development phases of real software projects. In this paper, we describe the methodology we adopted during the S-CASE FP7 European Project to predict reliability for both the S-CASE platform as well as for the software artefacts automatically generated by using the S-CASE platform. Two approaches have been adopted to compute reliability: The first one is the Rome Lab Model, a well adopted traditional approach in industry; the second one is an empirical approach defined by the authors in a previous work. An extensive dataset of results has been collected during all the phases of the project. The two approaches can complement each other, to support to prediction of reliability during all the development phases of a software system in order to facilitate the project management from a non-functional point-of-view.
AB - Reliability is a very important non-functional aspect for software systems and artefacts. In literature, several definitions of software reliability exist and several methods and approaches exist to measure reliability of a software project. However, in the literature no works focus on the applicability of these methods in all the development phases of real software projects. In this paper, we describe the methodology we adopted during the S-CASE FP7 European Project to predict reliability for both the S-CASE platform as well as for the software artefacts automatically generated by using the S-CASE platform. Two approaches have been adopted to compute reliability: The first one is the Rome Lab Model, a well adopted traditional approach in industry; the second one is an empirical approach defined by the authors in a previous work. An extensive dataset of results has been collected during all the phases of the project. The two approaches can complement each other, to support to prediction of reliability during all the development phases of a software system in order to facilitate the project management from a non-functional point-of-view.
KW - Early Reliability
KW - Perceived Reliability
KW - Predictive Models
KW - Reliability by design
KW - Rome Lab Model
KW - Static Analysis
UR - http://www.scopus.com/inward/record.url?scp=85039850001&partnerID=8YFLogxK
M3 - Conference contribution
SP - 304
EP - 314
BT - Proceedings of the 11th European Conference on Information Systems Management, ECISM 2017
PB - Academic Conferences and Publishing International Limited
ER -