NDLI logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. Proceedings of the 39th International Conference on Software Engineering (ICSE-NIER '17)
  2. Mutation testing meets approximate computing
Loading...

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

Mutation testing meets approximate computing
At the end of synthesis: narrowing program candidates
On accelerating ultra-large-scale mining
Performance metamorphic testing: motivation and challenges
Production-driven patch generation
Building usage profiles using deep neural nets
Anger and its direction in collaborative software development
Statistical learning for inference between implementations and documentation
DARVIZ: deep abstract representation, visualization, and verification of deep learning models
DevOps in regulated software development: case medical devices
GuideAutomator: continuous delivery of end user documentation
The impact of retrieval direction on IR-based traceability link recovery
Accelerating software engineering research adoption with analysis bots
In the field monitoring of interactive applications

Similar Documents

...
Approximation knob: power capping meets energy efficiency

Article

...
Real-Time Meets Approximate Computing: An Elastic CNN Inference Accelerator with Adaptive Trade-off between QoS and QoR

Article

...
Implementing Approximate Computing Techniques by Automatic Code Mutation

Article

...
A mutation-based model to rank testing as a service (TaaS) Providers in cloud computing

Article

...
MuTMuT: Efficient Exploration for Mutation Testing of Multithreaded Code

Article

...
Paraµ -- A Partial and Higher-Order Mutation Tool with Concurrency Operators

Article

...
Phase-aware optimization in approximate computing

Article

...
Models for energy-efficient approximate computing

Article

...
Stagnation Detection Meets Fast Mutation

Article

Mutation testing meets approximate computing

Content Provider ACM Digital Library
Author Misailovic, Sasa Shi, August Gligoric, Milos Khurshid, Sarfraz
Abstract One of the most widely studied techniques in software testing research is mutation testing - a technique for evaluating the quality of test suites. Despite over four decades of academic advances in this technique, mutation testing has not found its way to mainstream development. The key issue with mutation testing is its high computational cost: it requires running the test suite against not just the program under test but against typically thousands of mutants, i.e., syntactic variants, of the program. Our key insight is that exciting advances in the upcoming, yet unrelated, area of approximate computing allow us to define a principled approach that provides the benefits of traditional mutation testing at a fraction of its usually large cost. This paper introduces the idea of a novel approach, named ApproxiMut, that blends the power of mutation testing with the practicality of approximate computing. To demonstrate the potential of our approach, we present a concrete instantiation: rather than executing tests against each mutant on the exact program version, ApproxiMut obtains an approximate test/program version by applying approximate transformations and runs tests against each mutant on the approximated version. Our initial goal is to (1) measure the correlation between mutation scores on the exact and approximate program versions, (2) evaluate the relation among mutation operators and approximate transformations, (3) discover the best way to approximate a test and a program, and (4) evaluate the benefits of ApproxiMut. Our preliminary results show similar mutation scores on the exact and approximate program versions and uncovered a case when an approximated test was, to our surprise, better than the exact test.
Starting Page 3
Ending Page 6
Page Count 4
File Format PDF
ISBN 9781538626757
DOI 10.1109/ICSE-NIER.2017.15
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-05-20
Access Restriction Subscribed
Content Type Text
Resource Type Article
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
  • Chat with Us
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
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
I will try my best to help you...
Cite this Content
Loading...