NDLI: Studying the needed effort for identifying duplicate issues

Content Provider	Springer Nature Link
Author	Rakha, Mohamed Sami Shang, Weiyi Hassan, Ahmed E.
Copyright Year	2015
Abstract	Many recent software engineering papers have examined duplicate issue reports. Thus far, duplicate reports have been considered a hindrance to developers and a drain on their resources. As a result, prior research in this area focuses on proposing automated approaches to accurately identify duplicate reports. However, there exists no studies that attempt to quantify the actual effort that is spent on identifying duplicate issue reports. In this paper, we empirically examine the effort that is needed for manually identifying duplicate reports in four open source projects, i.e., Firefox, SeaMonkey, Bugzilla and Eclipse-Platform. Our results show that: (i) More than 50 % of the duplicate reports are identified within half a day. Most of the duplicate reports are identified without any discussion and with the involvement of very few people; (ii) A classification model built using a set of factors that are extracted from duplicate issue reports classifies duplicates according to the effort that is needed to identify them with a precision of 0.60 to 0.77, a recall of 0.23 to 0.96, and an ROC area of 0.68 to 0.80; and (iii) Factors that capture the developer awareness of the duplicate issue’s peers (i.e., other duplicates of that issue) and textual similarity of a new report to prior reports are the most influential factors in our models. Our findings highlight the need for effort-aware evaluation of approaches that identify duplicate issue reports, since the identification of a considerable amount of duplicate reports (over 50 %) appear to be a relatively trivial task for developers. To better assist developers, research on identifying duplicate issue reports should put greater emphasis on assisting developers in identifying effort-consuming duplicate issues.
Starting Page	1960
Ending Page	1989
Page Count	30
File Format	PDF
ISSN	13823256
Journal	Empirical Software Engineering
Volume Number	21
Issue Number	5
e-ISSN	15737616
Language	English
Publisher	Springer US
Publisher Date	2015-11-04
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mining software repositories Automated detection of duplicate issues Software issue reports Effort based analysis Duplicate bug reports Software Engineering/Programming and Operating Systems Programming Languages, Compilers, Interpreters
Content Type	Text
Resource Type	Article
Subject	Software

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

A contextual approach towards more accurate duplicate bug report detection and ranking

Mining software repair models for reasoning on the search space of automated program fixing

Guest editors introduction: special issue on mining software repositories

Introduction to the special issue on mining software repositories

Guest editorial: mining software repositories

Guest Editorial: Mining software repositories

Effort estimation of FLOSS projects: a study of the Linux kernel

Introduction to the Special Issue on Mining Software Repositories in 2010

Guest editorial: special section on mining software repositories

Studying the needed effort for identifying duplicate issues

Similar Documents

A contextual approach towards more accurate duplicate bug report detection and ranking

Mining software repair models for reasoning on the search space of automated program fixing

Guest editors introduction: special issue on mining software repositories

Introduction to the special issue on mining software repositories

Guest editorial: mining software repositories

Guest Editorial: Mining software repositories

Effort estimation of FLOSS projects: a study of the Linux kernel

Introduction to the Special Issue on Mining Software Repositories in 2010

Guest editorial: special section on mining software repositories

Studying the needed effort for identifying duplicate issues