Paper Info
Title
A large-scale technology evaluation study: effects of model-based analysis and testing
Abstract
Besides model-based development, model-based quality assurance and the tighter integration of static and dynamic quality assurance activities are becoming increasingly relevant in the development of software-intensive systems. Thus, this paper reports on an empirical study aimed at investigating the promises regarding quality improvements and cost savings. The evaluation comprises data from 13 industry case studies conducted during a three-year large-scale research project in the transportation domain (automotive, avionics, rail system). During the evaluation, we identified major goals and strategies associated with (integrated) model-based analysis and testing and evaluated the improvements achieved. The aggregated results indicate an average cost reduction of between 29% and 34% for verification and validation and of between 22% and 32% for defect removal. Compared with these cost savings, improvements regarding test coverage (~8%), number of remaining defects (~13%), and time to market (~8%) appear less noticeable.
Year
DOI
Venue
2015
10.1109/ICSE.2015.141
ICSE
Keywords
Field
DocType
Empirical study, embedded software quality assurance, multiple case study, GQM plus Strategies, quantitative technology evaluation, model-based testing, internal baselines
QA/QC,Systems engineering,Software quality analyst,Computer science,Software quality control,Program assurance,Average cost,Model-based testing,Software verification and validation,Reliability engineering,Quality assurance
Conference
Volume
ISSN
ISBN
2
0270-5257
978-1-4799-1934-5
Citations 
PageRank 
References 
3
0.39
23
Authors
5
Name
Order
Citations
PageRank
Michael Kläs1969.50
Thomas Bauer28519.87
Andreas Dereani330.39
Thomas Soderqvist430.39
Philipp Helle513517.89