An approach and tool for measurement of state variable based data-flow test coverage for aspect-oriented programs

Wedyan, Fadi; Ghosh, Sudipto; Vijayasarathy, Leo R.

doi:10.1016/j.infsof.2014.11.008

Cited by 13 publications

(10 citation statements)

References 56 publications

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“…Harrold and Soffa [13, 14] introduced an approach for testing the data‐flow interaction between procedures and proposed an algorithm for computing inter‐procedural data dependencies. Wedyan et al [15] presented an approach for measuring data‐flow coverage based on state variables defined in base classes or aspects in AspectJ programs. Chaim and Araujo [16] presented an approach to track intra‐procedural definition use associations at run‐time.…”

Section: Related Workmentioning

confidence: 99%

Evolutionary approach to generating test data for data flow test

et al. 2018

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Software testing consumes a significant portion of software effort. Program entities such as branch or definition-use pairs (DUPs) are used in diverse software development tasks. In this study, the authors present a novel evolution-based approach to generating test data for all definition-use coverage. First, the subset of DUPs, which can ensure the coverage adequacy, is computed by a reduction algorithm for the whole DUPs. Then they apply a genetic algorithm to generate test data for the subset of DUPs. Furthermore, the fitness of an individual depends on the matching degree between the traversed path and the definition-clear path of each target DUP. They also investigate the coverage and the size of test cases of test data generation by applying the authors' approach on 15 widely used subject programs. The experimental results show that their approach can reduce the size of test cases that generated without affecting the coverage rate.

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Section: Related Workmentioning

confidence: 99%

Evolutionary approach to generating test data for data flow test

et al. 2018

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“…Wedyan and Ghosh [33], and Wedyan et al [54] used higher order mutation to generate faults for AspectJ programs. Their intend was to produce mutants of fault types that first order mutants missed.…”

Section: Related Workmentioning

confidence: 99%

An Approach for the Generation of Higher Order Mutants Using Genetic Algorithms

Abuljadayel¹,

Wedyan²

2018

IJISA

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Abstract-Mutation testing is a structural testing technique in which the effectiveness of a test suite is measured by the suite ability to detect seeded faults. One fault is seeded into a copy of the program, called mutant, leading to a large number of mutants with a high cost of compiling and running the test suite against the mutants. Moreover, many of the mutants produce the same output as the original program (called equivalent mutants), such mutants need to be minimized to produce accurate results. Higher order mutation testing aims at solving these problems by allowing more than one fault to be seeded in the mutant. Recent work in higher order mutation show promising result in reducing the cost of mutation testing and increasing the approach effectiveness. In this paper, we present an approach for generating higher order mutants using a genetic algorithm. The aim of the proposed approach is to produce subtle and harder to kill mutants, and reduce the percentage of produced equivalent mutants. A Java tool has been developed, called HOMJava (Higher Order Mutation for Java), which implements the proposed approach. An experimental study was performed to evaluate the effectiveness of the proposed approach. The results show that the approach was able to produce subtle higher order mutants, the fitness of mutants improved by almost 99% compared with the first order mutants used in the experiment. The percentage of produced equivalent mutants was about 4%.

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“…There are some approaches [12], [14], [15], [19], [23], [25], [26], [29], [36], [38], [43], [44], [46], [49], [51]- [54] and so on which provide automated tools to apply their algorithms and some approaches still support manual. For test case generation, manual approach is trivial, it takes more time that leads to a cost of the software high.…”

Section: Tools To Supportmentioning

confidence: 99%

Comparative Analysis of Various Testing Techniques used for Aspect-Oriented Software System

Dalal¹,

Hooda²

2018

IJEECS

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<p>Nowadays, Aspect-Oriented Programming (AOP) paradigm is getting more popularity in the field of software development. But testing an Aspect-oriented software system (AOSS) is not well matured. Therefore, many researchers have been focusing on testing an AOSS. Moreover, the literature indicates that very few papers have devoted to literature survey but still there is need to study in depth of various testing techniques used for AOSS. Therefore, in this paper, a comprehensive study of existing various testing techniques for AOSS have been conducted and present a comparative analysis result of various testing techniques based on various parameters.</p>

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An approach and tool for measurement of state variable based data-flow test coverage for aspect-oriented programs

Cited by 13 publications

References 56 publications

Evolutionary approach to generating test data for data flow test

Evolutionary approach to generating test data for data flow test

An Approach for the Generation of Higher Order Mutants Using Genetic Algorithms

Comparative Analysis of Various Testing Techniques used for Aspect-Oriented Software System

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