Please use this identifier to cite or link to this item:
Title: Testing analytics on software variability
Authors: Leung, HKN 
Lui, KM
Keywords: Clones
Risk management
Software project management
Software testing
Variability testing
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings, 2015, 7070483, p.17-20 How to cite?
Abstract: Software testing is a tool-driven process. However, there are many situations in which different hardware/software components are tightly integrated. Thus system integration testing has to be manually executed to evaluate the system's compliance with its specified requirements and performance. There could be many combinations of changes as different versions of hardware and software components could be upgraded and/or substituted. Occasionally, some software components could even be replaced by clones. The whole system after each component change demands to be re-tested to ensure proper system behavior. For better utilization of resources, there is a need to prioritize the past test cases to test the newly integrated systems. We propose a way to facilitate the use of historical testing records of the previous systems so that a testcase portfolio can be developed, which intends to maximize testing resources for the same integrated product family. As the proposed framework does not consider much of internal software complexity, the implementation costs are relatively low.
Description: 2015 1st IEEE International Workshop on Software Analytics, SWAN 2015, 2 March 2015
ISBN: 9781467369237
DOI: 10.1109/SWAN.2015.7070483
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Oct 15, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.