Results 131 to 140 of about 398 (165)

A study of the effect of imperfect debugging on software development cost

IEEE Transactions on Software Engineering, 2003
It is widely recognized that the debugging processes are usually imperfect. Software faults are not completely removed because of the difficulty in locating them or because new faults might be introduced. Hence, it is of great importance to investigate the effect of the imperfect debugging on software development cost, which, in turn, might affect the ...
Min Xie, Bo Yang
exaly   +2 more sources

Quantitative effects of software testing on reliability improvement in the presence of imperfect debugging

Information Sciences, 2013
Software testing is essential for software reliability improvement and assurance. However, software testing is subject to imperfect debugging in the sense that new defects may be introduced into the software under test while detected defects are removed. The quantitative effects of software testing on software reliability improvement are obscure.
Ping Cao
exaly   +2 more sources

A software reliability growth model for imperfect debugging

Journal of Systems and Software, 2022
Yeu-Shiang Huang, Kuei-Chen Chiu
exaly   +2 more sources

N-version programming with imperfect debugging

Computers & Electrical Engineering, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Subhashis Chatterjee, Ravindra Babu Misra, Syed Samsul Alam   +2 more
openaire   +1 more source

A Bayesian hidden Markov model for imperfect debugging

Reliability Engineering & System Safety, 2012
n this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to the software during the development phase. Since the introduction of bugs is an unobservable process, latent variables are introduced to incorporate this ...
A Pievatolo, F Ruggeri, R Soyer
openaire   +2 more sources

Modelling an imperfect debugging phenomenon with testing effort

Proceedings of 1994 IEEE International Symposium on Software Reliability Engineering, 2002
A software reliability growth model (SRGM) based on non-homogeneous Poisson processes (NHPP) is developed. The model describes the relationship between the calendar time, the testing effort consumption and the error removal process under an imperfect debugging environment. The role of learning (gaining experience) with the progress of the testing phase
P. K. Kapur 0001, P. S. Grover, S. Younes   +2 more
openaire   +1 more source

Does imperfect debugging affect software reliability growth?

Proceedings of the 11th international conference on Software engineering - ICSE '89, 1989
This paper discusses the improvement of conventional software reliability growth models by elimination of the unreasonable assumption that errors or faults in a program can be perfectly removed when they are detected. The results show that exponential-type soft- ware reliability growth models that deal with error- counting data could be used even if ...
Mitsuru Ohba, Xiao-Mei Chou
openaire   +1 more source

Testing for Imperfect Debugging in Software Reliability

Scandinavian Journal of Statistics, 1997
This paper continues the study of the software reliability model of Fakhre‐Zakeri & Slud (1995), an “exponential order statistic model” in the sense of Miller (1986) with general mixing distribution, imperfect debugging and large‐sample asymptotics reflecting increase of the initial number of bugs with software size. The parameters of the model are
openaire   +1 more source

Modelling an imperfect debugging phenomenon in software reliability

Microelectronics Reliability, 1996
Abstract Several Software Reliability Growth Models (SRGMs) have been developed in the literature assuming the debugging process to be perfect and thus implying that there is one-to-one correspondence between the number of failures observed and errors removed.
P.K. Kapur, Said Younes
openaire   +1 more source

Incorporating imperfect debugging into software fault processes

2004 IEEE Region 10 Conference TENCON 2004., 2004
For the traditional SRGMs, it is assumed that a detected fault is immediately removed and is perfectly repaired with no new faults being introduced. In reality, it is impossible to remove all faults from the fault correction process and have a fault-free effect on the software development environment. In order to relax this perfect debugging assumption,
null Jung-Hua Lo, null Chin-Yu Huang
openaire   +1 more source