Defect Content Estimations from Review Data
Wohlin, Claes LU and Runeson, Per LU
(1998)
20th International Conference on Software Engineering (ICSE)
p.400-409
- Abstract
- Reviews are essential for defect detection and they provide an opportunity to control the software development process. This paper focuses upon methods for estimating the defect content after a review and hence to provide support for process control. Two new estimation methods are introduced as the assumptions of the existing statistical methods are not fulfilled. The new methods are compared with a maximum-likelihood approach. Data from several reviews are used to evaluate the different methods. It is concluded that the new estimation methods provide new opportunities to estimate the defect content.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/ecdabe1d-b126-40f4-be11-3cb9d2e047ab
- author
- Wohlin, Claes
LU
and Runeson, Per
LU
- organization
- publishing date
- 1998
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 20th International Conference on Software Engineering
- pages
- 10 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 20th International Conference on Software Engineering (ICSE)
- conference location
- Kyoto, Japan
- conference dates
- 1998-04-19 - 1998-04-25
- external identifiers
-
- scopus:0031597184
- ISBN
- 0-8186-8368-6
- DOI
- 10.1109/ICSE.1998.671393
- language
- English
- LU publication?
- yes
- id
- ecdabe1d-b126-40f4-be11-3cb9d2e047ab
- date added to LUP
- 2019-03-28 20:28:52
- date last changed
- 2022-02-15 17:32:23
@inproceedings{ecdabe1d-b126-40f4-be11-3cb9d2e047ab,
abstract = {{Reviews are essential for defect detection and they provide an opportunity to control the software development process. This paper focuses upon methods for estimating the defect content after a review and hence to provide support for process control. Two new estimation methods are introduced as the assumptions of the existing statistical methods are not fulfilled. The new methods are compared with a maximum-likelihood approach. Data from several reviews are used to evaluate the different methods. It is concluded that the new estimation methods provide new opportunities to estimate the defect content.}},
author = {{Wohlin, Claes and Runeson, Per}},
booktitle = {{Proceedings of the 20th International Conference on Software Engineering}},
isbn = {{0-8186-8368-6}},
language = {{eng}},
pages = {{400--409}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Defect Content Estimations from Review Data}},
url = {{http://dx.doi.org/10.1109/ICSE.1998.671393}},
doi = {{10.1109/ICSE.1998.671393}},
year = {{1998}},
}