A comparison of cross-versus single-company effort prediction models for web projects

Burak Turhan, Emilia Mendes

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

14 Citations (Scopus)

Abstract

Background: In order to address the challenges in companies having no or limited effort datasets of their own, cross-company models have been a focus of interest for previous studies. Further, a particular domain of investigation has been Web projects. Aim: This study investigates to what extent effort predictions obtained using cross-company (CC) datasets are effective in relation to the predictions obtained using single-company (SC) datasets within the domain of web projects. Method: This study uses the Tukutuku database. We employed data on 125 projects from eight different companies and built cross and single-company models with stepwise linear regression (SWR) with and without relevancy filtering. We also benchmarked these models against mean and median based models. We report a case-by-case analysis per company as well as a meta-analysis of the findings. Results: Results showed that CC models provided poor predictions and performed significantly worse than SC models. However, relevancy filtered CC models yielded comparable results to that of SC models. These results corroborate with previous research. An interesting result was that the median-based models were consistently better than other models. Conclusions: We conclude that companies that carry out Web development may use a median-based CC model for prediction until it is possible for the company to build its own SC model, which can be used by itself or in combination with median-based estimations.

Original languageEnglish
Title of host publicationProceedings - 40th Euromicro Conference Series on Software Engineering and Advanced Applications, SEAA 2014
Subtitle of host publication27-29 August 2014, Verona, Italy
EditorsRick Rabiser, Richard Torkar
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages285-292
Number of pages8
ISBN (Electronic)9781479957941
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventEuromicro Conference Series on Software Engineering and Advanced Applications 2014 - Verona, Italy
Duration: 27 Aug 201429 Aug 2014
Conference number: 40th
https://web.archive.org/web/20140608212505/http://esd.scienze.univr.it/dsd-seaa-2014/?page_id=25

Conference

ConferenceEuromicro Conference Series on Software Engineering and Advanced Applications 2014
Abbreviated titleSEAA 2014
CountryItaly
CityVerona
Period27/08/1429/08/14
Internet address

Keywords

  • cross-company effort model
  • effort estimation
  • single-company effort model
  • web projects

Cite this

Turhan, B., & Mendes, E. (2014). A comparison of cross-versus single-company effort prediction models for web projects. In R. Rabiser, & R. Torkar (Eds.), Proceedings - 40th Euromicro Conference Series on Software Engineering and Advanced Applications, SEAA 2014: 27-29 August 2014, Verona, Italy (pp. 285-292). [6928824] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SEAA.2014.41