Early software reliability analysis using reliability relevant software metrics

Yadav, Harikesh Bahadur; Yadav, Dilip Kumar

doi:10.1007/s13198-014-0325-3

Cited by 39 publications

(24 citation statements)

References 26 publications

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“…Even though different membership functions may be used with respect to the nature of input parameters, both triangular and trapezoidal membership functions are linear in nature. Further, triangular membership functions are more suitable when precise membership functions of a fuzzy set are not known [20].…”

Section: Development Of Membership Functions Using Histogram Analysismentioning

confidence: 99%

“…Actually, different types of membership functions exist in literature. Triangular and trapezoidal shapes provide a convenient representation of domain expert knowledge and it also simplifies the process of computation [18][19][20][21][22]. Therefore, in the proposed model, only triangular membership functions are considered in order to reduce programming and mathematical complexity.…”

Section: Introductionmentioning

confidence: 99%

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Developing Membership Functions and Fuzzy Rules from Numerical Data for Decision Making

Yadav

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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Nowadays, decision making using fuzzy logic is a major research area for scientists, researchers and project managers. Construction of membership functions and fuzzy rules from numerical data is very important in various applications of the fuzzy set theory. Therefore, in this paper a model is proposed for development of membership functions and fuzzy rules from numerical data for decision making. The main advantage of the proposed model is its simplicity. The proposed model is applied on Fisher's Iris data for decision making. The validation result shows that proposed model has a higher accuracy than existing models.

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Section: Development Of Membership Functions Using Histogram Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing Membership Functions and Fuzzy Rules from Numerical Data for Decision Making

Yadav

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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“…Static analysis tools can detect low-level programming faults such as potential security violations, run-time errors and logical inconsistencies [11]. Code complexity metrics have been proposed in different case studies to assess software quality [1] [4] [12].…”

Section: Introductionmentioning

confidence: 99%

Static Analysis and Code Complexity Metrics as Early Indicators of Software Defects

Omri¹,

Montag²,

Sinz³

2018

JSEA

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Software is an important part of automotive product development, and it is commonly known that software quality assurance consumes considerable effort in safety-critical embedded software development. Increasing the effectiveness and efficiency of this effort thus becomes more and more important. Identifying problematic code areas which are most likely to fail and therefore require most of the quality assurance attention is required. This article presents an exploratory study investigating whether the faults detected by static analysis tools combined with code complexity metrics can be used as software quality indicators and to build pre-release fault prediction models. The combination of code complexity metrics with static analysis fault density was used to predict the pre-release fault density with an accuracy of 78.3%. This combination was also used to separate high and low quality components with a classification accuracy of 79%.

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“…The work displayed is a piece of a bigger research venture on the quality of early frameworks and software advancement ancient rarities [2]? In the setting of software demonstrate is seen as a calculated model that catches and structures the software, i.e.…”

Section: Introductionmentioning

confidence: 99%

Impact Analysis of Cohesion and Abstraction on Availability Issue at Early Stagerly Stage

Bhardwaj¹

2018

IJRASET

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Availability issue of software quality is one of the well-known topics of research in software engineering. Assessment used to improve the quality of software systems. Object oriented property is mainly designed for principles of abstraction, encapsulation, and inheritance. This research paper focuses on effects of cohesion and abstraction on availability. The effect of our try out indicates that extensive apply of inheritance leads to models that are more difficult to modify. These results are in procession with the conclusions drawn from previous experiments on cohesion and abstraction with availability.

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Early software reliability analysis using reliability relevant software metrics

Cited by 39 publications

References 26 publications

Developing Membership Functions and Fuzzy Rules from Numerical Data for Decision Making

Developing Membership Functions and Fuzzy Rules from Numerical Data for Decision Making

Static Analysis and Code Complexity Metrics as Early Indicators of Software Defects

Impact Analysis of Cohesion and Abstraction on Availability Issue at Early Stagerly Stage

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