DocumentCode :
145589
Title :
Operational Profile Modeling as a Risk Assessment Tool for Software Quality Techniques
Author :
AlShathry, Omar
Author_Institution :
Coll. of Comput. Sci. & Inf., Imam Mohammed Bin Saud Univ., Riyadh, Saudi Arabia
Volume :
2
fYear :
2014
fDate :
10-13 March 2014
Firstpage :
181
Lastpage :
184
Abstract :
A major share of software project investment is assigned to activities concerning the detection and removal of defects. Software project managers tend to apply the most efficient QA techniques to assure low defect density within their software project. However, the criteria of selecting a QA technique based on its efficiency is not always safe and cost effective. Software defects vary in their severity in terms of the magnitude of their negative impact on both the testing process and the whole project. Some defects would make intense implications if it passed to the operational use as it belongs to significant functional components of the software. The consideration of potential risk with some defects types should be taken into account when selecting a QA technique to avoid future failure. In this paper, we build on previous work of software quality optimization by proposing a model whereby QA decisions are normalized by the risk associated with their defects detection and removal activities.
Keywords :
object-oriented programming; program testing; project management; risk management; software fault tolerance; software quality; QA decisions; QA techniques; defect detection; defect removal; defects types; low defect density; operational profile modeling; removal activities; risk assessment tool; software defects; software functional components; software project investment; software project managers; software quality optimization; software quality techniques; testing process; Conferences; Investment; Software engineering; Software quality; System testing; DRE; FMEA; SDLC; Software Defects; Software Quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/CSCI.2014.115
Filename :
6822326
Link To Document :
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