A software reliability growth model for imperfect debugging
YS Huang, KC Chiu, WM Chen - Journal of Systems and Software, 2022 - Elsevier
In general, software reliability growth models (SRGMs) are often developed based on the
assumptions of perfect debugging, single error type, and consistent testing environment …
assumptions of perfect debugging, single error type, and consistent testing environment …
Software reliability prediction and optimization using machine learning algorithms: A review
Software reliability is an important part while evaluating software quality. Many challenges
are faced while develo** highly reliable software such as its usability, performance …
are faced while develo** highly reliable software such as its usability, performance …
A novel CRITIC‐TOPSIS approach for optimal selection of software reliability growth model (SRGM)
Abstract Various Software Reliability Growth Models (SRGMs) have been developed over
last five decades to estimate the failure rate, software reliability and remaining number of …
last five decades to estimate the failure rate, software reliability and remaining number of …
Quantitative assessment of machine learning reliability and resilience
Advances in machine learning (ML) have led to applications in safety‐critical domains,
including security, defense, and healthcare. These ML models are confronted with …
including security, defense, and healthcare. These ML models are confronted with …
Survey of software reliability assessment tools
Research on reliability assessment using software reliability models has been actively
conducted for over half a century. Since the 1970s, the development of various computer …
conducted for over half a century. Since the 1970s, the development of various computer …
Bayesian Decision Making of an Imperfect Debugging Software Reliability Growth Model with Consideration of Debuggers' Learning and Negligence Factors
In this study, an imperfect debugging software reliability growth model (SRGM) with
Bayesian analysis was proposed to determine an optimal software release in order to …
Bayesian analysis was proposed to determine an optimal software release in order to …
Online ontological quality assessment of converted UML class diagrams in SRE
CY Chen, KY Tai - Automated Software Engineering, 2023 - Springer
Software reverse engineering (SRE) is receiving more attention due to the current trend for
rapid software development, since this allows developers to implement systems without any …
rapid software development, since this allows developers to implement systems without any …
Efficient Fault Detection by Test Case Prioritization via Test Case Selection
JP Rajasingh, PS Kumar, S Srinivasan - Journal of Electronic Testing, 2023 - Springer
One of the significant features of software quality is software reliability. In the testing phase,
faults are identified and corrected by integrating them into software development, thus …
faults are identified and corrected by integrating them into software development, thus …
A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates
This paper focuses on the so-called proportional intensity-based software reliability models
(PI-SRMs), which are extensions of the common non-homogeneous Poisson process …
(PI-SRMs), which are extensions of the common non-homogeneous Poisson process …
Multi-phase algorithm design for accurate and efficient model fitting
J Steakelum, J Aubertine, K Chen, V Nagaraju… - Annals of Operations …, 2022 - Springer
Recent research applies soft computing techniques to fit software reliability growth models.
However, runtime performance and the distribution of the distance from an optimal solution …
However, runtime performance and the distribution of the distance from an optimal solution …