Sensitivity of reliability-growth models to operational profile errors vs. testing accuracy [software testing]

1996 ◽  
Vol 45 (4) ◽  
pp. 531-540 ◽  
Author(s):  
A. Pasquini ◽  
A.N. Crespo ◽  
P. Matrella
Keyword(s):  
Software Testing ◽  
Growth Models ◽  
Reliability Growth ◽  
Operational Profile ◽  
Testing Accuracy ◽  
Profile Errors

CONSIDERING TESTING EFFICIENCY AND TESTING RESOURCE CONSUMPTION VARIATIONS IN ESTIMATING SOFTWARE RELIABILITY

2008 ◽  
Vol 15 (02) ◽  
pp. 77-91 ◽  
Author(s):  
ANSHU GUPTA ◽  
REECHA KAPUR ◽  
P. C. JHA
Keyword(s):  
Software Testing ◽  
Software Reliability ◽  
Growth Models ◽  
Real Life ◽  
Resource Consumption ◽  
Experimental Result ◽  
Reliability Growth ◽  
Testing Effort ◽  
Software Reliability Growth ◽  
Testing Efficiency

Advances in software technologies have promoted the growth of computer-related applications to a great extent. Building quality in terms of reliability of the software has become one of the main issues for software developers. Software testing is necessary to build highly reliable software. Monitoring and controlling the resource utilization, measuring and controlling the progress of testing, efficiency of testing and debugging personals and reliability growth are important for effective management the testing phase and meeting the quality objectives. Over the past 35 years many Software reliability growth models (SRGM) are proposed to accomplish the above-mentioned activities related to the software testing. From the literature it appears that most of the SRGM do not account the changes in the testing effort consumption. During the testing process especially in the beginning and towards the end of the testing frequent changes are observed in testing resource consumption due to changes in testing strategy, team constitution, schedule pressures etc. Apart from this testing efficiency plays a major role determining the progress of the testing process. In this paper we incorporate the important concept of testing resource consumption variations for Weibull type testing effort functions and testing efficiency in software reliability growth modeling. The performance of the proposed models is demonstrated through two real life data sets existing in literature. The experimental result shows fairly accurate estimating capabilities of the proposed models.

DEBUGGING PROCESS-ORIENTED DISCRETE SOFTWARE RELIABILITY MODELING

2009 ◽  
Vol 16 (04) ◽  
pp. 357-370 ◽  
Author(s):  
SHINJI INOUE ◽  
NAOKI IWAMOTO ◽  
SHIGERU YAMADA
Keyword(s):  
Discrete Time ◽  
Software Reliability ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Reliability Growth ◽  
Reliability Modeling ◽  
New Approach ◽  
Time Modeling ◽  
Software Reliability Growth ◽  
Discrete Time Modeling

This paper discusses an new approach for discrete-time software reliability growth modeling based on an discrete-time infinite server queueing model, which describes a debugging process in a testing phase. Our approach enables us to develop discrete-time software reliability growth models (SRGMs) which could not be developed under conventional discrete-time modeling approaches. This paper also discuss goodness-of-fit comparisons of our discrete-time SRGMs with conventional continuous-time SRGMs in terms of the criterion of the mean squared errors, and show numerical examples for software reliability analysis of our models by using actual data.

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