NDLI: Evaluating the usefulness of IR-based fault localization techniques

Please wait, while we are loading the content...

Evaluating the usefulness of IR-based fault localization techniques

BrowserAudit: automated testing of browser security features

WuKong: a scalable and accurate two-phase approach to Android app clone detection

Scalable and precise taint analysis for Android

When truth is efficient: analysing concurrency

Enhancing reuse of constraint solutions to improve symbolic execution

Practical regression test selection with dynamic file dependencies

Optimizing selection of competing features via feedback-directed evolutionary algorithms

Test-case generation for runtime analysis and vice versa: verification of aircraft separation assurance

Feedback-controlled random test generation

Calculation coverage testing in scientific applications

Automatic generation of system test cases from use case specifications

Dynamic taint tracking for Java with phosphor (demo)

Making your crashes work for you (doctoral symposium)

Proactive detection of inadequate diagnostic messages for software configuration errors

Detection and classification of malicious JavaScript via attack behavior modelling

Systematic execution of Android test suites in adverse conditions

Dynamic detection of inter-application communication vulnerabilities in Android

Pegasus: automatic barrier inference for stable multithreaded systems

S-looper: automatic summarization for multipath string loops

Reliable testing: detecting state-polluting tests to prevent test dependency

Automated software transplantation

Reliability assessment for distributed systems via communication abstraction and refinement

Randomized stress-testing of link-time optimizers

Automatic fault injection for driver robustness testing

RTCM: a natural language based, automated, and practical test case generation framework

TSTL: a language and tool for testing (demo)

Scalable program analysis through proof caching (doctoral symposium)

An analysis of patch plausibility and correctness for generate-and-validate patch generation systems

Experience report: an empirical study of PHP security mechanism usage

DLint: dynamically checking bad coding practices in JavaScript

Modelgen: mining explicit information flow specifications from concrete executions

ConcBugAssist: constraint solving for diagnosis and repair of concurrency bugs

Experience report: how is dynamic symbolic execution different from manual testing? a study on KLEE

Empirical evaluation of pareto efficient multi-objective regression test case prioritisation

Automating performance bottleneck detection using search-based application profiling

Reusing constraint proofs in program analysis

Automated unit test generation during software development: a controlled experiment and think-aloud observations

Preventing data errors with continuous testing

CanaryAdvisor: a statistical-based tool for canary testing (demo)

Collaborative testing across shared software components (doctoral symposium)

SAMC: a fast model checker for finding heisenbugs in distributed systems (demo)

Cost-aware combinatorial interaction testing (doctoral symposium)

Mining change history for test-plan generation (doctoral symposium)

Evaluating the usefulness of IR-based fault localization techniques

Content Provider	ACM Digital Library
Author	Orso, Alessandro Wang, Qianqian Parnin, Chris
Abstract	Software debugging is tedious and time consuming. To reduce the manual effort needed for debugging, researchers have proposed a considerable number of techniques to automate the process of fault localization; in particular, techniques based on information retrieval (IR) have drawn increased attention in recent years. Although reportedly effective, these techniques have some potential limitations that may affect their performance. First, their effectiveness is likely to depend heavily on the quality of the bug reports; unfortunately, high-quality bug reports that contain rich information are not always available. Second, these techniques have not been evaluated through studies that involve actual developers, which is less than ideal, as purely analytical evaluations can hardly show the actual usefulness of debugging techniques. The goal of this work is to evaluate the usefulness of IR-based techniques in real-world scenarios. Our investigation shows that bug reports do not always contain rich information, and that low-quality bug reports can considerably affect the effectiveness of these techniques. Our research also shows, through a user study, that high-quality bug reports benefit developers just as much as they benefit IR-based techniques. In fact, the information provided by IR-based techniques when operating on high-quality reports is only helpful to developers in a limited number of cases. And even in these cases, such information only helps developers get to the faulty file quickly, but does not help them in their most time consuming task: understanding and fixing the bug within that file. .
Starting Page	1
Ending Page	11
Page Count	11
File Format	PDF
ISBN	9781450336208
DOI	10.1145/2771783.2771797
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-07-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Fault localization Information retrieval User studies
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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