Title
Software quality assessment in practice: a hypothesis-driven framework
Abstract
Software quality models describe decompositions of quality characteristics. However, in practice, there is a gap between quality models, quality measurements, and quality assessment activities. As a first step of bridging the gap, this paper presents a novel and structured framework to perform quality assessments. Together with our industrial partner, we applied this framework in two case studies and present our lessons learned. Among others, we found that results from automated tools can be misleading. Manual inspections still need to be conducted to find hidden quality issues, and concrete evidence of quality violations needs to be collected to convince the stakeholders.
Year
DOI
Venue
2018
10.1145/3239235.3268922
PROCEEDINGS OF THE 12TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2018)
Keywords
Field
DocType
Software Quality, Quality Assessment, Software Maintenance
Systems engineering,Computer science,Engineering management,Bridging (networking),Software maintenance,Software quality
Conference
ISBN
Citations 
PageRank 
978-1-4503-5823-1
3
0.38
References 
Authors
9
5
Name
Order
Citations
PageRank
Markus Schnappinger132.41
Mohd Hafeez Osman271.55
Alexander Pretschner3269.69
Markus Pizka430.38
Arnaud Fietzke531.40