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Impact of product complexity on actual effort in software developments: An empirical investigation
Li, Zheng (1); O'Brien, Liam (2); Yang, Ye (3)
2014
Conference Name23rd Australasian Software Engineering Conference, ASWEC 2014
Pages170-179
Conference DateApril 7, 2014 - April 10, 2014
Conference PlaceSydney, NSW, Australia
Indexed TypeEI
Publish PlaceIEEE Computer Society
ISBN9781479931491
Department(1) School of Computer Science, NICTA, ANU, Canberra, Australia; (2) ICT Innovation and Services, Geoscience Australia, Canberra, Australia; (3) Institute of Software, Chinese Academy of Sciences, Beijing, China
English Abstract[Background:] Software effort prediction methods and models typically assume positive correlation between software product complexity and development effort. However, conflicting observations, i.e. negative correlation between product complexity and actual effort, have been witnessed from our experience with the COCOMO81 dataset. [Aim:] Given our doubt about whether the observed phenomenon is a coincidence, this study tries to investigate if an increase in product complexity can result in the abovementioned counter-intuitive trend in software development projects. [Method:] A modified association rule mining approach is applied to the transformed COCOMO81 dataset. To reduce noise of analysis, this approach uses a constant antecedent (Complexity increases while Effort decreases) to mine potential consequents with pruning. [Results:] The experiment has respectively mined four, five, and seven association rules from the general, embedded, and organic projects data. The consequents of the mined rules suggested two main aspects, namely human capability and product scale, to be particularly concerned in this study. [Conclusions:] The negative correlation between complexity and effort is not a coincidence under particular conditions. In a software project, interactions between product complexity and other factors, such as Programmer Capability and Analyst Capability, can inevitably play a 'friction' role in weakening the practical influences of product complexity on actual development effort. © 2014 IEEE.; [Background:] Software effort prediction methods and models typically assume positive correlation between software product complexity and development effort. However, conflicting observations, i.e. negative correlation between product complexity and actual effort, have been witnessed from our experience with the COCOMO81 dataset. [Aim:] Given our doubt about whether the observed phenomenon is a coincidence, this study tries to investigate if an increase in product complexity can result in the abovementioned counter-intuitive trend in software development projects. [Method:] A modified association rule mining approach is applied to the transformed COCOMO81 dataset. To reduce noise of analysis, this approach uses a constant antecedent (Complexity increases while Effort decreases) to mine potential consequents with pruning. [Results:] The experiment has respectively mined four, five, and seven association rules from the general, embedded, and organic projects data. The consequents of the mined rules suggested two main aspects, namely human capability and product scale, to be particularly concerned in this study. [Conclusions:] The negative correlation between complexity and effort is not a coincidence under particular conditions. In a software project, interactions between product complexity and other factors, such as Programmer Capability and Analyst Capability, can inevitably play a 'friction' role in weakening the practical influences of product complexity on actual development effort. © 2014 IEEE.
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16621
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Li, Zheng ,O'Brien, Liam ,Yang, Ye . Impact of product complexity on actual effort in software developments: An empirical investigation[C]. IEEE Computer Society,2014:170-179.
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