Paper Info
Title
From Assumptions to Context-Specific Knowledge in the Area of Combined Static and Dynamic Quality Assurance
Abstract
High-quality software is an indispensable requirement today. Low-quality products can result in high overall costs (e.g., due to rework). Quality assurance can help to reduce the number of defects before a software product is delivered. However, quality assurance itself can be a major cost driver, especially testing activities. One solution for balancing these costs is to focus testing on defect-prone parts, which is nowadays often done by using product and process metrics. However, data from static quality assurance activities that is available early is usually not considered when focusing testing activities. Integration of static and dynamic quality assurance activities is a promising strategy for exploiting synergy effects and, consequently, one way to reduce costs and effort. For effective and efficient integration, knowledge about the relationships between the integrated techniques is necessary, which is often not available. Thus, assumptions have to be stated and evaluated. Existing approaches for this typically describe procedures only on a high level. Therefore, this paper presents procedures how to define, derive, and evaluate assumptions in a systematic and detailed manner for the integrated inspection and testing (In2Test) approach.
Year
DOI
Venue
2012
10.1109/SEAA.2012.29
Software Engineering and Advanced Applications
Keywords
Field
DocType
low-quality product,high-quality software,static quality assurance activity,dynamic quality assurance activity,context-specific knowledge,high overall cost,quality assurance,integrated inspection,combined static,efficient integration,high level,testing activity,dynamic quality assurance,inspection,testing,software metrics,software quality,empirical knowledge,measurement,combination,concrete
QA/QC,Systems engineering,Software quality analyst,Computer science,Cost driver,Software quality control,Program assurance,Software metric,Software quality,Reliability engineering,Quality assurance
Conference
ISSN
ISBN
Citations 
1089-6503
978-1-4673-2451-9
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Frank Elberzhager114620.44
Thomas Bauer28519.87