scholarly journals An Approach to Optimize the Cost of Software Quality Assurance Analysis

2010 ◽  
Vol 5 (8) ◽  
pp. 1-4
Author(s):  
Manju Lata ◽  
Rajendra Kumar
Author(s):  
Claude Y. Laporte ◽  
Alain April

Software tests are used by most organizations. However, many other software quality assurance practices are often neglected. Most developers are not aware of the high cost of inferior quality and its impact on the duration and budget of a project. At the École de technologie supérieure (ÉTS), software quality assurance (SQA) is taught in lecture format in the undergraduate software engineering curriculum. The SQA course covers the concepts of the business modeland the cost of quality, to convince students of the importance of putting in place adequate prevention and evaluation practices, both to reduce the number of defects and to predict the extra effort needed to correct defects introduced as the work progresses.The course includes a 10-week capstone project in which teams of 4 students apply the SQA practices taught inclass in a software development assignment. The students collect measures throughout the 10-week period, and the performance of each team is analyzed. This analysis allows discussion to take place on the positive impact of SQA practices as a way to deliver quality software on time and within budget.


2005 ◽  
Vol 40 (11) ◽  
pp. 29-36 ◽  
Author(s):  
Bixin Li ◽  
Ying Zhou ◽  
Yancheng Wang ◽  
Junhui Mo

Author(s):  
Min Wang ◽  
Xinjian Duan ◽  
Michael J. Kozluk

A probabilistic fracture mechanics code, PRAISE-CANDU 1.0, has been developed under a software quality assurance program in full compliance with CSA N286.7-99, and was initially released in 2012 June. Extensive verification and validation has been performed on PRAISE-CANDU 1.0 for the purpose of software quality assurance. This paper presents the benchmarking performed between PRAISE-CANDU 1.0 and xLPR (eXtremely Low Probability of Rupture) version 1.0 using the cases from the xLPR pilot study. The xLPR code was developed in a configuration management and quality assured manner. Both codes adopted a state-of-art code architecture for the treatment of the uncertainties. Inputs to the PRAISE-CANDU were established as close as possible to those used in corresponding xLPR cases. Excellent agreement has been observed among the results obtained from the two PFM codes in spite of some differences between the codes. This benchmarking is considered to be an important element of the validation of PRAISE-CANDU.


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