Metric-based software reliability prediction approach and its application

Song, Ying; Li, Ming; Arndt, Steven A.; Smidts, Carol

doi:10.1007/s10664-016-9425-9

Cited by 20 publications

(11 citation statements)

References 37 publications

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“…In each iteration of the algorithm, the wolf's position update based on the position of wolves α, β according to the Eq. (1), (2). On the basis of new positions, the value of the fitness function of wolves is calculated and , will be selected.…”

Section: Phase 1: Grey-wolf-optimizationmentioning

confidence: 99%

“…Software has become an indispensable part of day to day activities and is very significant in technological as well as economic development [1]. Nowadays, software is significantly used in many fields such as home appliances, nuclear-power-plants, automobiles, telecommunications, medical devices and so on [2]. A software testing process is a significant task and indispensable stage to build high quality software to make it free from bugs and defects and to improve the quality.…”

Section: Introductionmentioning

confidence: 99%

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An Optimal Software Test Case Mechanism using Grey Wolf-FireFly Method

Rastogi¹

2019

IJIES

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Software testing is a major technique for designing the software without fault and use the resources efficiently for the development of any software. The software bugs can be detected by the process of executing an application or a program. Test Case Generation (TCG) is a method to identify the test data and satisfy the software testing criteria. An automatic TC technique automatically determines where the TC or test data generates by utilizing search based optimization method. In this paper, Gref-Wolf and Firefly algorithm (GWFF) method is used for optimization of TC and generation of path coverage within the minimal execution time. In general, the challenging task is constraint handling in which the fitness function is directly affected by updating the positions of the searching agents. In proposed method, there is no direct relation between the fitness function and search agents, because the agents update their positions with respect to the locations of alpha, beta and delta. Experimental results showed that the GWFF method helped to generate path convergence within minimal execution time. Comparing to the existing methods such as Bee Colony Algorithm (BCA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS), the proposed GWFF method provided better performance in terms of fitness values.

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Section: Phase 1: Grey-wolf-optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Optimal Software Test Case Mechanism using Grey Wolf-FireFly Method

Rastogi¹

2019

IJIES

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“…That's why the approach could direct the development process and helpful in making design decisions. Experiences learned from the applications are also discussed (Shi Ying et al, 2016). User quality objectives should influence the system design and serve as criteria both for intermediate verification and for system validation and acceptance.…”

Section: Litrature Surveymentioning

confidence: 99%

Software Matrices Selection for a SDLC Based Software Reliability Prediction Model

2019

IJRTE

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Software reliability is one of the essential factors of quality in software engineering like other quality attributes as functionality, usability, maintainability, performance, serviceability, documentation etc. From last few years, several software reliability models have been developed. There is lack of relevant literature which focuses on processes related to SDLC. A SDLC based structure for measurement of reliability has been proposed. Identified software reliability measures which are majorly take place in all levels of early software development phase of SDLC. Considering all measures for reliability estimation will be costly and time taking. So measures are identified which are taking place at each development phase and have high synthetic weight according to selecting criteria based on expert judgment and multi criteria decision making technique. Based on the grading, top ranked measures like completeness, error distribution, fault density etc are identified. Use of recommended metrics will make software reliability estimation more effective and reliable

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“…Nowadays, software is significantly used in many applications such as home appliances, Bank process, nuclear-power-plants, automobiles, telecommunications, medical devices and so on [1,2]. The software testing process is a significant task to make it free from bugs and defects and to improve its quality.…”

Section: Introductionmentioning

confidence: 99%

Automatic Generation and Optimization of Test case using Hybrid Cuckoo Search and Bee Colony Algorithm

Lakshminarayana¹,

Sureshkumar²

2020

Journal of Intelligent Systems

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AbstractSoftware testing is a very important technique to design the faultless software and takes approximately 60% of resources for the software development. It is the process of executing a program or application to detect the software bugs. In software development life cycle, the testing phase takes around 60% of cost and time. Test case generation is a method to identify the test data and satisfy the software testing criteria. Test case generation is a vital concept used in software testing, that can be derived from the user requirements specification. An automatic test case technique determines automatically where the test cases or test data generates utilizing search based optimization method. In this paper, Cuckoo Search and Bee Colony Algorithm (CSBCA) method is used for optimization of test cases and generation of path convergence within minimal execution time. The performance of the proposed CSBCA was compared with the performance of existing methods such as Particle Swarm Optimization (PSO), Cuckoo Search (CS), Bee Colony Algorithm (BCA), and Firefly Algorithm (FA).

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Metric-based software reliability prediction approach and its application

Cited by 20 publications

References 37 publications

An Optimal Software Test Case Mechanism using Grey Wolf-FireFly Method

An Optimal Software Test Case Mechanism using Grey Wolf-FireFly Method

Software Matrices Selection for a SDLC Based Software Reliability Prediction Model

Automatic Generation and Optimization of Test case using Hybrid Cuckoo Search and Bee Colony Algorithm

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