Qualitative Methods in Empirical Studies of Software Engineering
IEEE Transactions on Software Engineering
Web Development: Estimating Quick-to-Market Software
IEEE Software
An Empirical Study on the Design Effort of Web Applications
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
Cost estimation for web applications
Proceedings of the 25th International Conference on Software Engineering
Web Development Effort Estimation Using Analogy
ASWEC '00 Proceedings of the 2000 Australian Software Engineering Conference
MMWA: A Software Sizing Model for Web Applications
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Making Resource Decisions for Software Projects
Proceedings of the 26th International Conference on Software Engineering
Software Engineering Evolution
IWPSE '04 Proceedings of the Principles of Software Evolution, 7th International Workshop
Further Comparison of Cross-Company and Within-Company Effort Estimation Models for Web Applications
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
Resource Estimation for Web Applications
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
Effort estimation modeling techniques: a case study for web applications
ICWE '06 Proceedings of the 6th international conference on Web engineering
A Comparison of Techniques for Web Effort Estimation
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Comparing Between Web Application Effort Estimation Methods
ICCSA '07 Proceedings of the The 2007 International Conference Computational Science and its Applications
Web Cost Estimation and Productivity Benchmarking
Software Engineering
SBES '09 Proceedings of the 2009 XXIII Brazilian Symposium on Software Engineering
A systematic review of cross- vs. within- company cost estimation studies
EASE'06 Proceedings of the 10th international conference on Evaluation and Assessment in Software Engineering
Predicting web development effort using a bayesian network
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
A systematic review of web resource estimation
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
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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.