Estimation of Mobile Application Projects: A Systematic Mapping of Literature
Abstract
Mobile applications have needs and characteristics different from other information systems. These characteristics are factors that influence the effort estimation. In this context, this paper presents a systematic literature mapping about characteristics of effort predictor factors and estimation models for mobile application projects. As a result, we identified five models for size estimation, three models for effort estimation, three models for estimating size and effort together and ninety-three predictor factors. From the results, we conclude that there is no standardization of effort predictor factors that support professionals to estimate.References
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Ferrucci, F., Gravino, C., Salza, P., e Sarro, F. (2015). “Investigating Functional and Code Size Measures for Mobile Applications”. In 2015 41st Euromicro Conference on Software Engineering and Advanced Applications, p. 365–368.
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Heeringen, H. Van, e Gorp, E. Van. (2014). “Measure the functional size of a mobile app: Using the cosmic functional size measurement method”. Proceedings 2014 Joint Conference of the International Workshop on Software Measurement, IWSM 2014 and the International Conference on Software Process and Product Measurement, Mensura 2014, p. 11–16.
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Landis, J.R. e Koch, G.G., (1977). “The Measurement of Observer Agreement for Categorical Data. Biometrics, p. 159–174.
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Nitze, A., Schmietendorf, A., e Dumke, R. (2014). “An analogy-based effort estimation approach for mobile application development projects”. Conference on Software Process and Product Measurement (IWSM-MENSURA), p. 99–103.
Pocatilu, P., e Vetrici, M. (2009). “M-applications Development using High Performance Project Management Techniques 3 Time / Duration Management Models”, p. 123–128.
Trindade, C. C., Moraes, A. K., e Meira, S. R. L. (2008). “Comunicação em equipes distribuídas de desenvolvimento de software: Revisão sistemática”. In ESELAW'08: Proceedings of the 5th Experimental Software Engineering Latin American Workshop.
Usman, M., Mendes, E., Weidt, F., & Britto, R. (2014). “Effort estimation in agile software development: a systematic literature review”. In Proceedings of the 10th International Conference on Predictive Models in Software Engineering, p. 82–91.
Abdullah, N. A. S., Rusli, N. I. A., e Ibrahim, M. F. (2014). “Mobile game size estimation: Cosmic fsm rules, uml mapping model and unity3d game engine”. In Open Systems (ICOS), p. 42-47.
Abreu, F. P. (2011). “Estimativa de Software Baseada em Ponto de Caso de Uso: Curso introdutório”, http://pt.slideshare.net/enovar/estimativa-de-software-em-pontos-decaso-de-uso, Outubro.
Albrecht, A. J. (1979). “Measuring application development productivity”. In Proc. Of the Joint SHARE/GUIDE/IBM Application Development Symposium, p. 83-92.
Boehm, B. W. (1981). “Software engineering economics”, Vol. 197, Englewood Cliffs (NJ): Prentice-hall.
Britto, R., Usman, M., Mendes, E. (2017). “A Taxonomy of Web Effort Predictors”, In Journal of Web Engineering (JWE).
Cohen, J., (1960). “A coefficient of agreement of nominal scales”. Educational and Psychological Measurement, p.37–46.
COSMIC. (2015). “The COSMIC Functional Size Measurement Method Version 4.0.1 Measurement Manual”, http://cosmic-sizing.org/publications/measurement-manual401/, Abril.
D’Avanzo, L. D., Ferrucci, F., Gravino, C., Salza, P., Giovanni, V., Ii, P., e Sa, F. (2015). “COSMIC Functional Measurement of Mobile Applications and Code Size Estimation”, p. 1631–1636.
De Souza, E. T. B. e Conte, T. (2017). “Estimativa de Projetos de Aplicativos Móveis: Um Mapeamento Sistemático”. In Relatório Técnico USES TR-USES-2017-011. http://uses.icomp.ufam.edu.br/wp-content/uploads/2017/05/RT-USES-2017-011.pdf.
De Souza, L. S., e De Aquino Jr, G. S. (2014). “Meffortmob: a effort size measurement for mobile application development”. In: International Journal of Software Engineering and Applications, v.5, nº4, p. 63.
Dombroviak, K. M., & Ramnath, R. (2007). “A taxonomy of mobile and pervasive applications”. In Proceedings of the 2007 ACM symposium on Applied computing, p. 1609-1615.
eMarketer. (2016). “2 Billion Consumers Worldwide to Get Smart(phones)”, http://www.emarketer.com/Article/2-Billion-Consumers-Worldwide-Smartphonesby-2016/1011694, Abril.
Ferrucci, F., Gravino, C., Salza, P., e Sarro, F. (2015). “Investigating Functional and Code Size Measures for Mobile Applications”. In 2015 41st Euromicro Conference on Software Engineering and Advanced Applications, p. 365–368.
Ferrucci, F., Gravino, C., Salza, P., e Sarro, F. (2015). “Investigating Functional and Code Size Measures for Mobile Applications: A Replicated Study”. In International Conference on Product-Focused Software Process Improvement, p. 271–287.
Francese, R., Gravino, C., Risi, M., Scanniello, G., e Tortora, G. (2015). “On the Use of Requirements Measures to Predict Software Project and Product Measures in the Context of Android Mobile Apps: A Preliminary Study”. In 2015 41st Euromicro Conference on Software Engineering and Advanced Applications, p. 357–364.
Heeringen, H. Van, e Gorp, E. Van. (2014). “Measure the functional size of a mobile app: Using the cosmic functional size measurement method”. Proceedings 2014 Joint Conference of the International Workshop on Software Measurement, IWSM 2014 and the International Conference on Software Process and Product Measurement, Mensura 2014, p. 11–16.
Keränen, H., e Abrahamsson, P. (2005). “A Case Study on Naked Objects in Agile Software Development”, p. 189–197.
Kitchenham, B., e Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. Staffordshire, UK.
Landis, J.R. e Koch, G.G., (1977). “The Measurement of Observer Agreement for Categorical Data. Biometrics, p. 159–174.
Mendes, E. (2014). “Practitioner's Knowledge Representation: A Pathway to Improve Software Effort Estimation”. Springer Science and Business, p.27.
Nagappan, M. (2016). “Future Trends in Software Engineering Research for Mobile Apps”. Software Analysis, Evolution, and Reengineering (SANER ’16), p. 14–18.
Nitze, A., Schmietendorf, A., e Dumke, R. (2014). “An analogy-based effort estimation approach for mobile application development projects”. Conference on Software Process and Product Measurement (IWSM-MENSURA), p. 99–103.
Pocatilu, P., e Vetrici, M. (2009). “M-applications Development using High Performance Project Management Techniques 3 Time / Duration Management Models”, p. 123–128.
Trindade, C. C., Moraes, A. K., e Meira, S. R. L. (2008). “Comunicação em equipes distribuídas de desenvolvimento de software: Revisão sistemática”. In ESELAW'08: Proceedings of the 5th Experimental Software Engineering Latin American Workshop.
Usman, M., Mendes, E., Weidt, F., & Britto, R. (2014). “Effort estimation in agile software development: a systematic literature review”. In Proceedings of the 10th International Conference on Predictive Models in Software Engineering, p. 82–91.
Published
2017-08-28
How to Cite
SOUZA, Ervili T. B.; CONTE, Tayana.
Estimation of Mobile Application Projects: A Systematic Mapping of Literature. In: BRAZILIAN SOFTWARE QUALITY SYMPOSIUM (SBQS), 16. , 2017, Rio de Janeiro.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2017
.
p. 206-220.
DOI: https://doi.org/10.5753/sbqs.2017.15102.
