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Timeline Prediction Framework for Iterative Software Engineering Projects with Changes

  • Conference paper
Software Engineering Approaches for Offshore and Outsourced Development (SEAFOOD 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 16))

Abstract

Even today, software projects still suffer from delays and budget overspending. The causes for this problem are compounded when the project team is distributed across different locations and generally attributed to the decreasing ability to communicate well (due to cultural, linguistic, and physical distance). Many projects, especially those with off-shoring component, consist of small iterations with changes, deletions and additions, yet there is no formal model of the flow of iterations available. A number of commercially available project prediction tools for projects as a whole exist, but the model adaptation process by iteration, if it exists, is unclear. Furthermore, no project data is available publicly to train on and understand the iterative process. In this work, we discuss parameters and formulas that are well founded in the literature and demonstrate their use within a simulation tool. Project timeline prediction capability is demonstrated on various scenarios of change requests. On a real-world example, we show that iteration-based data collection is necessary to train both the parameters and formulas to accurately model the software engineering process to gain a full understanding of complexities in software engineering process.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Polytechnic University of Puerto Rico, 377 Ponce de León Ave., San Juan, Puerto Rico, 00918, Puerto Rico

    Kay Berkling, Georgios Kiragiannis & Armin Zundel

  2. Department of Computer Science and School of Computational Science, Florida State University, Tallahassee, FL 32306, USA

    Subhajit Datta

Authors
  1. Kay Berkling
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  2. Georgios Kiragiannis
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  3. Armin Zundel
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  4. Subhajit Datta
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Editor information

Editors and Affiliations

  1. Polytechnic University of Puerto Rico, 00919, San Juan, Puerto Rico

    Kay Berkling

  2. Tata Consultancy Services, 411 001, Pune, India

    Mathai Joseph

  3. ETH Zurich, 8092, Zurich, Switzerland

    Bertrand Meyer  & Martin Nordio  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Berkling, K., Kiragiannis, G., Zundel, A., Datta, S. (2009). Timeline Prediction Framework for Iterative Software Engineering Projects with Changes. In: Berkling, K., Joseph, M., Meyer, B., Nordio, M. (eds) Software Engineering Approaches for Offshore and Outsourced Development. SEAFOOD 2008. Lecture Notes in Business Information Processing, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01856-5_2

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  • DOI: https://doi.org/10.1007/978-3-642-01856-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01855-8

  • Online ISBN: 978-3-642-01856-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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