NDLI: An outlier detection algorithm based on object-oriented metrics thresholds

Content Provider	IEEE Xplore Digital Library
Author	Alan, O. Catal, C.
Copyright Year	2009
Abstract	Detection of outliers in software measurement datasets is a critical issue that affects the performance of software fault prediction models built based on these datasets. Two necessary components of fault prediction models, software metrics and fault data, are collected from the software projects developed with object-oriented programming paradigm. We proposed an outlier detection algorithm based on these kinds of metrics thresholds. We used Random Forests machine learning classifier on two software measurement datasets collected from jEdit open-source text editor project and experiments revealed that our outlier detection approach improves the performance of fault predictors based on Random Forests classifier.
Starting Page	567
Ending Page	570
File Size	231006
Page Count	4
File Format	PDF
ISBN	9781424450213
DOI	10.1109/ISCIS.2009.5291882
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-14
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object oriented modeling software fault prediction Software performance Predictive models outlier detection Open source software Software metrics Fault detection metrics thresholds object-oriented metrics Machine learning Software measurement Detection algorithms Object oriented programming
Content Type	Text
Resource Type	Article

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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
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