How many individuals to use in a QA task with fixed total effort?  Defect detection as a function of time
(2012) 6th International Symposium on Empirical Software Engineering and Measurement (ESEM) In [Host publication title missing] p.311314 Abstract
 Increasing the number of persons working on quality assurance (QA) tasks, e.g., reviews and testing, increases the number of defects detected – but it also increases the total effort unless effort is controlled with fixed effort budgets. Our research investigates how QA tasks should be configured regarding two parameters, i.e., time and number of people. We define an optimization problem to answer this question. As a core element of the optimization problem we discuss and describe how defect detection probability should be modeled as a function of time. We apply the formulas used in the definition of the optimization problem to empirical defect data of an experiment previously conducted with university students. The results show that the... (More)
 Increasing the number of persons working on quality assurance (QA) tasks, e.g., reviews and testing, increases the number of defects detected – but it also increases the total effort unless effort is controlled with fixed effort budgets. Our research investigates how QA tasks should be configured regarding two parameters, i.e., time and number of people. We define an optimization problem to answer this question. As a core element of the optimization problem we discuss and describe how defect detection probability should be modeled as a function of time. We apply the formulas used in the definition of the optimization problem to empirical defect data of an experiment previously conducted with university students. The results show that the optimal choice of the number of persons depends on the actual defect detection probabilities of the individual defects over time, but also on the size of the effort budget. Future work will focus on generalizing the optimization problem to a larger set of parameters, including not only task time and number of persons but also experience and knowledge of the personnel involved, and methods and tools applied when performing a QA task. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/record/3052928
 author
 Mäntylä, Mika ^{LU} ; Petersen, K. and Pfahl, Dietmar ^{LU}
 organization
 publishing date
 2012
 type
 Chapter in Book/Report/Conference proceeding
 publication status
 published
 subject
 in
 [Host publication title missing]
 pages
 311  314
 publisher
 IEEEInstitute of Electrical and Electronics Engineers Inc.
 conference name
 6th International Symposium on Empirical Software Engineering and Measurement (ESEM)
 external identifiers

 wos:000319423700042
 ISSN
 19386451
 language
 English
 LU publication?
 yes
 id
 e4e34bc3031b4f20b7279fba5bfa9b19 (old id 3052928)
 alternative location
 https://wiki.aalto.fi/pages/viewpage.action?pageId=69894854
 date added to LUP
 20120913 12:25:28
 date last changed
 20180313 00:09:25
@inproceedings{e4e34bc3031b4f20b7279fba5bfa9b19, abstract = {Increasing the number of persons working on quality assurance (QA) tasks, e.g., reviews and testing, increases the number of defects detected – but it also increases the total effort unless effort is controlled with fixed effort budgets. Our research investigates how QA tasks should be configured regarding two parameters, i.e., time and number of people. We define an optimization problem to answer this question. As a core element of the optimization problem we discuss and describe how defect detection probability should be modeled as a function of time. We apply the formulas used in the definition of the optimization problem to empirical defect data of an experiment previously conducted with university students. The results show that the optimal choice of the number of persons depends on the actual defect detection probabilities of the individual defects over time, but also on the size of the effort budget. Future work will focus on generalizing the optimization problem to a larger set of parameters, including not only task time and number of persons but also experience and knowledge of the personnel involved, and methods and tools applied when performing a QA task.}, author = {Mäntylä, Mika and Petersen, K. and Pfahl, Dietmar}, booktitle = {[Host publication title missing]}, issn = {19386451}, language = {eng}, pages = {311314}, publisher = {IEEEInstitute of Electrical and Electronics Engineers Inc.}, title = {How many individuals to use in a QA task with fixed total effort?  Defect detection as a function of time}, year = {2012}, }