Request-Oriented Method of Software Testability Measurement

Fu, Jianping; Lu, Minyan

doi:10.1109/itcs.2009.154

Cited by 7 publications

(6 citation statements)

References 4 publications

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“…They proposed a testability measurement for a UML class diagram as well as solutions to improve the testability of the software design. Jianping and Minyan [16] proposed a request-oriented method of software testability measurement. The proposed method can select the appropriate elements from a self-contained software testability measurement framework to measure testability of all kinds of software.…”

Section: Related Workmentioning

confidence: 99%

An Empirical Analysis of the Relationship between Cohesion and Testing Effort

Albattah¹,

Melton²

2017

JSW

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Predicting software testability can reduce costs and efforts. Cohesion, as one of software quality metrics, found to be good indicator for software testability. Although there is a good interest in software testability on the class level in the literature, software testability on the package level has not received the same interest. The paper investigates the relationship between a newly proposed package cohesion metric and software testing effort. The empirical analysis used data collected from five Java open source software systems for which JUnit test classes are available. The results show that as good the package cohesion is, as the less testing effort is needed. The stability of the correlations allows us to draw optimistic conclusions about its use as an indicator.

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Section: Related Workmentioning

confidence: 99%

An Empirical Analysis of the Relationship between Cohesion and Testing Effort

Albattah¹,

Melton²

2017

JSW

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“…The challenge is to study how these representations impact the final implementation of the software, with the aim of identifying characteristics and/or patterns in the representations that may enhance or perhaps impair testability. Identifying such characteristics and/or patterns would enable one to create representations of software that evolve into better testable implementations and thus, improve on the time and effort-efficiency during software testing [12]. Improving software testability is clearly a key objective in order to reduce the number of defects that result from poorly designed software [21].…”

Section: Software Testability At Design Phasementioning

confidence: 99%

“…Higher test coverage may be completed by making a design more testable for the same quantity of effort, which as a result increases the confidence to the system. It is evident from literature review that there is no known complete and comprehensive model or framework available for estimating the testability of object oriented software taking design phase into consideration [8]- [12]. The model proposed in this paper addresses many issues raised by various researchers and practitioners.…”

Section: Introductionmentioning

confidence: 99%

Metric Based Testability Estimation Model for Object Oriented Design: Quality Perspective

Huda¹,

Arya²,

Khan³

2015

JSEA

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The quality factor of class diagram is critical because it has significant influence on overall quality of the product, delivered finally. Testability has been recognized as a key factor to software quality. Estimating testability at design stage is a criterion of crucial significance for software designers to make the design more testable. Taking view of this fact, this paper identifies testability factors namely effectiveness and reusability and establishes the correlation among testability, effectiveness and reusability and justifies the correlation with the help of statistical measures. Moreover study developed metric based testability estimation model and developed model has been validated using experimental test. Subsequently, research integrates the empirical validation of the developed model for high level acceptance. Finally a hypothesis test performs by the two standards to test the significance of correlation.

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“…With the example of a group of embedded software referred in [14], this section reveals how to obtain an impact set of affecting factors and weight coefficients based on rough set theory.…”

Section: Examplementioning

confidence: 99%

Software Testability Measurement Based on Rough Set Theory

Liu

2009

2009 International Conference on Computational Intelligence and Software Engineering

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Because the number of affecting factor is very large and the correlation of factors may impact the precision of measurement result, rough set theory is introduced in the process of software testability measurement. The attribute reduction method is used to reduce the set of affecting factor because it can eliminate the attribute that cannot affect the decision according to the interrelation between attributes. The importance of an attribute to the result of system classification can be used to calculate the weight coefficient that is critical to the software testability measurement. Because the foundation of rough set theory is the objective data the analysis result is impersonal and its correctness is impacted by the data adequacy.

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Request-Oriented Method of Software Testability Measurement

Cited by 7 publications

References 4 publications

An Empirical Analysis of the Relationship between Cohesion and Testing Effort

An Empirical Analysis of the Relationship between Cohesion and Testing Effort

Metric Based Testability Estimation Model for Object Oriented Design: Quality Perspective

Software Testability Measurement Based on Rough Set Theory

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