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Missing Data Imputation Techniques for Software Effort Estimation: A Study of Recent Issues and Challenges

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Emerging Trends in Intelligent Computing and Informatics (IRICT 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1073))

Abstract

Software effort estimation is one the critical aspects of software engineering. It revolves around predicting the required efforts needed to complete a software task. However, any estimation technique or model relies on an input data in which it defines and predicts future values. Missing data and values within such data is a common occurrence in the software development industry and thus it leads to inaccurate predictions or misleading results. Thus, Missing Data is an important aspect of effort estimation models that is required to be addressed. However, Missing Data is not without its gaps and issues. This review aims at elaborating the recent issues and gaps that exist within the missing data and software effort estimation field. This may allow future researchers to get a better grasp and understanding of the inner workings of Missing Data and the methods through which these challenges can be addressed.

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Acknowledgments

The authors fully acknowledge Universiti Teknologi Malaysia for UTM-TDR Grant Vot No. 06G23, and Ministry of Higher Education (MOHE) for FRGS Grant Vot No. 5F117, which have made this research endeavor possible.

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Authors and Affiliations

  1. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor, Malaysia

    Ayman Jalal Hassan Almutlaq & Dayang N. A. Jawawi

Authors
  1. Ayman Jalal Hassan Almutlaq
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  2. Dayang N. A. Jawawi
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Corresponding authors

Correspondence to Ayman Jalal Hassan Almutlaq or Dayang N. A. Jawawi .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. School of Computing, Universiti Utara Malaysia (UUM), Sintok, Kedah Darul Aman, Malaysia

    Fathey Mohammed

  3. Management of Information Systems Department College of Business Administration, Taibah University, Yanbu, Saudi Arabia

    Nadhmi Gazem

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Almutlaq, A.J.H., Jawawi, D.N.A. (2020). Missing Data Imputation Techniques for Software Effort Estimation: A Study of Recent Issues and Challenges. In: Saeed, F., Mohammed, F., Gazem, N. (eds) Emerging Trends in Intelligent Computing and Informatics. IRICT 2019. Advances in Intelligent Systems and Computing, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-33582-3_107

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