Hyper-geometric distribution software reliability growth model with imperfect debugging
نویسندگان
چکیده
Debugging actions durin.g the test/debug phase of software d e ve1op.m e nt are la ot always performed perfectly. That is, not all th.e software faults detected are perfectly removed without introducing new faults. This phenomenon is called the imperfect debugging. The HyperGeo ni et ric Dist 1-i but i on software relia bilat y growth Model (HGDM) was developed for estimating the number of software fatilts initially in a program. In this paper, we propose a’n extended model based on the HGDM incorporating the notion of imperfect debugging.
منابع مشابه
MARKOVIAN SOFTWARE RELIABILITY MODEL FOR TWO TYPES OF FAILURES WITH IMPERFECT DEBUGGING RATE AND GENERATION OF ERRORS
N
متن کاملTesting Effort Dependent Delayed S-shaped Software Reliability Growth Model with Imperfect Debugging
In software development process, testing is one of the most important aspects and hence, software reliably is very important factor of software systems. In the last four decades many software reliability growth model based on non-homogeneous Poisson process (NHPP) have been developed which incorporates testing effort function. However, the previous models are quite helpful for software engineer...
متن کاملStudy of the Warranty Cost Model for Software Reliability with an Imperfect Debugging Phenomenon
Software reliability is one of the most important characteristics of software quality. Its measurement and management technologies employed during the software life-cycle are essential for producing and maintaining quality/reliable software systems. Herein, we discuss a modified approach to calculating the delivery cost of a software product, when warranty is to be provided, with an imperfect d...
متن کاملUnified Framework for Developing Testing Effort Dependent Software Reliability Growth Models
Several software reliability growth models (SRGMs) have been presented in the literature in the last three decades. These SRGMs take into account different testing environment depending on size and efficiency of testing team, type of components and faults, design of test cases, software architecture etc. The plethora of models makes the model selection an uphill task. Recently, some authors hav...
متن کاملModelling Software Fault debugging Complexity under Imperfect Debugging Environment
The fault debugging progress is influenced by various factors all of which may not be deterministic in nature such as the debugging effort, debugging efficiency and debuggers skill, and debugging methods and strategies. In order to address these realistic factors that influencing the debugging process we propose an integrated nonhomogeneous Poisson process (NHPP) based software reliability mode...
متن کامل