research-article

Realising web effort estimation: a qualitative investigation

Authors:

Luiz Fortaleza,

Emilia MendesAuthors Info & Claims

EASE '13: Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering

Pages 12 - 23

https://doi.org/10.1145/2460999.2461002

Published: 14 April 2013 Publication History

Abstract

Context: Reliable effort estimation is essential for better management of Web projects, hence the need to identify what are the key factors that affect effort estimates for new Web projects and how they are inter-related. Objective: This paper improves our understanding of Web effort estimation using as basis the knowledge of Web effort estimation experts. Method: We employed qualitative research with the participation of four different Web development companies in Manaus (Brazil) using semi-structured interviews for data collection; our data analysis was carried out using Grounded Theory-based procedures to identify and combine factors affecting the estimation effort of Web projects. Results: We identified four main groupings (categories) of factors - Web project, Web development complexity, Web development team, and Clients. Each of these groupings contains a set of factors that impact upon Web effort estimation. Conclusions: This is the first time that qualitative research is employed in the field of Web effort estimation to further understand and help improve this process. In addition, some of the factors found had never been identified in any of the previous studies in this field, thus suggesting that the use of Grounded Theory-based procedures may provide a way to enrich our understanding of the phenomenon under investigation via the identification of factors that overlap and also complement those from previous studies.

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Cited By

Matsubara PSteinmacher IGadelha BConte T(2023)Much more than a prediction: Expert-based software effort estimation as a behavioral actEmpirical Software Engineering10.1007/s10664-023-10332-928:4Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1007/s10664-023-10332-9
Matsubara PGadelha BSteinmacher IConte T(2022)SEXTAMTJournal of Systems and Software10.1016/j.jss.2021.111148185:COnline publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1016/j.jss.2021.111148
Satapathy SRath SGorthi RSarkar SMedvidovic NKulkarni VKumar AJoshi PInverardi PSureka ASharma R(2017)Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based ApplicationsProceedings of the 10th Innovations in Software Engineering Conference10.1145/3021460.3021468(74-84)Online publication date: 5-Feb-2017
https://dl.acm.org/doi/10.1145/3021460.3021468
Show More Cited By

Index Terms

Realising web effort estimation: a qualitative investigation
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Implementation management
        Pricing and resource allocation
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines
    2. Software verification and validation
      1. Process validation

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cover image ACM Other conferences

EASE '13: Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering

April 2013

268 pages

ISBN:9781450318488

DOI:10.1145/2460999

General Chair:
Fabio Q. B. da Silva
Universidade Federal de Pernambuco, Brazil
,
Program Chairs:
Natalia Juristo
Universidad Politécnica de Madrid, Spain
,
Guilherme Horta Travassos
Universidade Federal do Rio de Janeiro, Brazil

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Centro de Informatica - UFPE: Centro de Informatica - UFPE
SBC: Brazilian Computer Society
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 April 2013

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Funding Sources

Knowledge Foundation in Sweden
Fundação de Amparo à Pesquisa do Estado do Amazonas

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EASE '13

Sponsor:

Centro de Informatica - UFPE
SBC
CNPq
CAPES

EASE '13: 17th International Conference on Evaluation and Assessment in Software Engineering

April 14 - 16, 2013

Porto de Galinhas, Brazil

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EASE '13 Paper Acceptance Rate 31 of 94 submissions, 33%;

Overall Acceptance Rate 71 of 232 submissions, 31%

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Cited By

Matsubara PSteinmacher IGadelha BConte T(2023)Much more than a prediction: Expert-based software effort estimation as a behavioral actEmpirical Software Engineering10.1007/s10664-023-10332-928:4Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1007/s10664-023-10332-9
Matsubara PGadelha BSteinmacher IConte T(2022)SEXTAMTJournal of Systems and Software10.1016/j.jss.2021.111148185:COnline publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1016/j.jss.2021.111148
Satapathy SRath SGorthi RSarkar SMedvidovic NKulkarni VKumar AJoshi PInverardi PSureka ASharma R(2017)Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based ApplicationsProceedings of the 10th Innovations in Software Engineering Conference10.1145/3021460.3021468(74-84)Online publication date: 5-Feb-2017
https://dl.acm.org/doi/10.1145/3021460.3021468
Lee TWei KAbd Ghani A(2016)Systematic literature review on effort estimation for Open Sources (OSS) web application development2016 Future Technologies Conference (FTC)10.1109/FTC.2016.7821748(1158-1167)Online publication date: Dec-2016
https://doi.org/10.1109/FTC.2016.7821748
Mendes EVaz VMuradas F(2015)An Expert-Based Requirements Effort Estimation Model Using Bayesian NetworksSoftware Quality. The Future of Systems- and Software Development10.1007/978-3-319-27033-3_6(79-93)Online publication date: 10-Dec-2015
https://doi.org/10.1007/978-3-319-27033-3_6
Barabino GConcas GCorona EGrechi DMarchesi MTigano D(2015)Web framework pointsJournal of Software: Evolution and Process10.1002/smr.171527:9(603-624)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1002/smr.1715
Matos OConte TMendes EShepperd MHall TMyrtveit I(2014)Is there a place for qualitative studies when identifying effort predictors?Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering10.1145/2601248.2601281(1-10)Online publication date: 13-May-2014
https://dl.acm.org/doi/10.1145/2601248.2601281

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