The use of software complexity metrics in software reliability modeling

This paper discusses an new approach for discrete-time software reliability growth modeling based on an discrete-time infinite server queueing model, which describes a debugging process in a testing phase. Our approach enables us to develop discrete-time software reliability growth models (SRGMs) which could not be developed under conventional discrete-time modeling approaches. This paper also discuss goodness-of-fit comparisons of our discrete-time SRGMs with conventional continuous-time SRGMs in terms of the criterion of the mean squared errors, and show numerical examples for software reliability analysis of our models by using actual data.

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A novel approach to software reliability modeling

Microelectronics Reliability ◽

10.1016/0026-2714(93)90066-8 ◽

1993 ◽

Vol 33 (15) ◽

pp. 2265-2267 ◽

Cited By ~ 26

Author(s):

Kai-Yuan Cai ◽

Chuan-Yuan Wen ◽

Ming-Lian Zhang

Keyword(s):

Software Reliability ◽

Reliability Modeling ◽

Novel Approach

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Mathematical Approaches in Functional Safety Assessment for E/E/PE Safety-Related Software

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539321500431 ◽

2021 ◽

pp. 2150043

Author(s):

Shinji Inoue ◽

Takaji Fujiwara ◽

Shigeru Yamada

Keyword(s):

Software Reliability ◽

Safety Assessment ◽

Assessment Method ◽

Functional Safety ◽

Reliability Modeling ◽

Software Failure ◽

Safety Integrity Level ◽

Iec 61508 ◽

Systematic Failure ◽

Quantitative Safety Assessment

Safety integrity level (SIL)-based functional safety assessment is widely required in designing safety functions and checking their validity of electrical/electronic/programmable electronic (E/E/PE) safety-related systems after being issued IEC 61508 in 2010. For the hardware of E/E/PE safety-related systems, quantitative functional safety assessment based on target failure measures is needed for deciding or allocating the level of SIL. On the other hand, IEC 61508 does not provide any quantitative safety assessment method for allocating SIL for the software of E/E/PE safety-related systems because the software failure is treated as a systematic failure in IEC 61508. We discuss the needfulness of quantitative safety assessment for software of E/E/PE safety-related systems and propose mathematical fundamentals for conducting quantitative SIL-based safety assessment for the software of E/E/PE safety-related systems by applying the notion of software reliability modeling and assessment technologies. We show numerical examples for explaining how to use our approaches.

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Metrics for evaluation of metaprogram complexity

Computer Science and Information Systems ◽

10.2298/csis090315004d ◽

2010 ◽

Vol 7 (4) ◽

pp. 769-787 ◽

Cited By ~ 6

Author(s):

Robertas Damasevicius ◽

Vytautas Stuikys

Keyword(s):

Measurement Techniques ◽

Graph Algorithm ◽

Aspect Oriented Programming ◽

Engineering Software ◽

Software Complexity ◽

Complexity Management ◽

Complexity Metrics ◽

Cognitive Difficulty ◽

Cognitive Dimensions

The concept of complexity is used in many areas of computer science and software engineering. Software complexity metrics can be used to evaluate and compare quality of software development and maintenance processes and their products. Complexity management and measurement is especially important in novel programming technologies and paradigms, such as aspect-oriented programming, generative programming, and metaprogramming, where complex multilanguage and multi-aspect program specifications are developed and used. This paper analyzes complexity management and measurement techniques, and proposes five complexity metrics (Relative Kolmogorov Complexity, Metalanguage Richness, Cyclomatic Complexity, Normalized Difficulty, Cognitive Difficulty) for measuring complexity of metaprograms at information, metalanguage, graph, algorithm, and cognitive dimensions.

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