NDLI: Code Coverage of Adaptive Random Testing

Content Provider	IEEE Xplore Digital Library
Author	Tsong Yueh Chen Fei-Ching Kuo Huai Liu Wong, W.E.
Copyright Year	1963
Abstract	Random testing is a basic software testing technique that can be used to assess the software reliability as well as to detect software failures. Adaptive random testing has been proposed to enhance the failure-detection capability of random testing. Previous studies have shown that adaptive random testing can use fewer test cases than random testing to detect the first software failure. In this paper, we evaluate and compare the performance of adaptive random testing and random testing from another perspective, that of code coverage. As shown in various investigations, a higher code coverage not only brings a higher failure-detection capability, but also improves the effectiveness of software reliability estimation. We conduct a series of experiments based on two categories of code coverage criteria: structure-based coverage, and fault-based coverage. Adaptive random testing can achieve higher code coverage than random testing with the same number of test cases. Our experimental results imply that, in addition to having a better failure-detection capability than random testing, adaptive random testing also delivers a higher effectiveness in assessing software reliability, and a higher confidence in the reliability of the software under test even when no failure is detected.
Sponsorship	IEEE Reliability Society
Starting Page	226
Ending Page	237
Page Count	12
File Size	1538369
File Format	PDF
ISSN	00189529
Volume Number	62
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Subspace constraints Software Power capacitors Measurement Software reliability random testing Adaptive random testing code coverage failure-based testing
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Application of a Failure Driven Test Profile in Random Testing

Does Adaptive Random Testing Deliver a Higher Confidence than Random Testing?

A Novel Evolutionary Approach for Adaptive Random Testing

Quasi-Random Testing

Effect of code coverage on software reliability measurement

Analysis of Software Testing Strategies Through Attained Failure Size

Empirically based analysis of failures in software systems

Failure correlation in software reliability models

A nonparametric nonstationary procedure for failure prediction

Code Coverage of Adaptive Random Testing

Similar Documents

Application of a Failure Driven Test Profile in Random Testing

Does Adaptive Random Testing Deliver a Higher Confidence than Random Testing?

A Novel Evolutionary Approach for Adaptive Random Testing

Quasi-Random Testing

Effect of code coverage on software reliability measurement

Analysis of Software Testing Strategies Through Attained Failure Size

Empirically based analysis of failures in software systems

Failure correlation in software reliability models

A nonparametric nonstationary procedure for failure prediction

Code Coverage of Adaptive Random Testing