Results 31 to 40 of about 21,044,990 (111)
Efficient parameter estimation of software reliability growth models using harmony search
IET Software, Volume 11, Issue 6, Page 286-291, December 2017., 2017 The primary challenge of software reliability growth model is to find the unknown model parameters that are used to validate on software failure dataset. Though, numerical estimation technique plays a vital role in parameter estimation of software reliability growth models, they are not optimal as they suffer from constraints sucha as sample size ...
Ankur Choudhary +2 more
wiley +1 more source
Optimal discrete stopping times for reliability growth tests [PDF]
, 2005 Often, the duration of a reliability growth development test is specified in advance and the decision to terminate or continue testing is conducted at discrete time intervals. These features are normally not captured by reliability growth models.
Quigley, J.L.
core +4 more sources
Design and Development Framework of Safety‐Critical Software in HTR‐PM
Science and Technology of Nuclear Installations, Volume 2017, Issue 1, 2017., 2017 With the development of information technology, the instrumentation and control system of nuclear power plant nowadays rely heavily on the massive and complex software to ensure the safe and efficient operation of the power plant. The improvement of the software design and development for the safety systems has been a research focus for its decisive ...
Chao Guo +4 more
wiley +1 more source
A new boosting-based software reliability growth model [PDF]
, 2021 A new software reliability growth model (SRGM) called RBoostSRGM is proposed in this paper. It can be regarded as a modification of the boosting SRGMs through the use of a reduced set of weights to take into account the behavior of the software ...
Coolen, F.P.A., Utkin, L.V.
core +1 more source
Mathematical Problems in Engineering, Volume 2017, Issue 1, 2017., 2017 Reliability is one of the quantifiable software quality attributes. Software Reliability Growth Models (SRGMs) are used to assess the reliability achieved at different times of testing. Traditional time‐based SRGMs may not be accurate enough in all situations where test effort varies with time.
Subburaj Ramasamy +2 more
wiley +1 more source
Software Reliability Growth Modelling (SRGM) 2022: 88 Projects Dataset
, 2022 This repository contains the dataset of 88 OSS projects mined from GitHub used for SRGM analysis of 9 models ** (Goel-Okumoto, Goel-Okumoto S-Shaped, Hossain-Dahiya, Musa-Okumoto, Duane, Weibull, Yamada Exponential, Yamada Raleigh, and Log-Logistic ...
Stanislav Chren (5503583) +1 more
core +1 more source
Arranged sample in GHLD for software reliability growth model [PDF]
, 2022 As the size and complexity increases, it is difficult to generate reliable software for the users. Reliability depends on number of failures which create a great loss in the software system.
Roy, Lakshmi Deepika +2 more
core +1 more source
Modeling Mechanism and Review of Imperfect Debugging Reliability Model Related to the Total Number of Faults in Software [PDF]
Jisuanji kexueIn the reliability research,the total number of software faults is crucial for allocating testing resources,assessing reliability changes,and determining optimal release times.However,there has been limited research from the perspective of total faults ...
ZHANG Ce, SUN Zhichao, JI Kexing, WANG Jinyong, WANG Yubin
doaj +1 more source
Fuzzy analysis and prediction of commit activity in open source software projects
IET Software, Volume 10, Issue 5, Page 136-146, October 2016., 2016 Autoregressive integrated moving average (ARIMA) models are the most commonly used prediction models in the previous studies on software evolution prediction. This study explores a prediction method based on fuzzy time series for predicting the future commit activity in open source software (OSS) projects.
Munish Saini, Kuljit Kaur
wiley +1 more source
Understanding Open Source Software Evolution Using Fuzzy Data Mining Algorithm for Time Series Data
Advances in Fuzzy Systems, Volume 2016, Issue 1, 2016., 2016 Source code management systems (such as Concurrent Versions System (CVS), Subversion, and git) record changes to code repositories of open source software projects. This study explores a fuzzy data mining algorithm for time series data to generate the association rules for evaluating the existing trend and regularity in the evolution of open source ...
Munish Saini +3 more
wiley +1 more source