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A Study of an Automated Software Effort Measurement Method

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Parallel and Distributed Computing, Applications and Technologies (PDCAT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 931))

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Abstract

Software companies have adopted project management methodologies suitable for their organizations and have made significant efforts in successfully applying them to improve the quality of software. In particular, a technology that can measure and analyze software project data is essential for effective project management and productivity improvement. Of these software project data, software effort is the key metric to be measured, given its direct relation to process improvement and quality but also have general management interest. However, in practice, there have been many difficulties in actually measuring effort data because of problems in continuous and consistent measurement. Therefore, in this paper, we propose an automated software effort measurement method that can apply during the entire software development life cycle, to overcome these problems and to achieve improvement of effort measurement outcomes. Experiments are performed to evaluate the proposed method from the viewpoint of effort measurement accuracy. The results indicate that the proposed method shows a significant improvement compared to the existing methods.

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Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017R1C1B5018295).

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Authors and Affiliations

  1. Department of Computer Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk, 38541, Republic of Korea

    Yeong-Seok Seo & Hyun-Soo Jang

Authors
  1. Yeong-Seok Seo
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  2. Hyun-Soo Jang
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Corresponding author

Correspondence to Yeong-Seok Seo .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    Jong Hyuk Park

  2. School of Computer Science, University of Adelaide, Adelaide, SA, Australia

    Hong Shen

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea (Republic of)

    Yunsick Sung

  4. School of ICT, Griffith University, Gold Coast, Australia

    Hui Tian

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Seo, YS., Jang, HS. (2019). A Study of an Automated Software Effort Measurement Method. In: Park, J., Shen, H., Sung, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2018. Communications in Computer and Information Science, vol 931. Springer, Singapore. https://doi.org/10.1007/978-981-13-5907-1_40

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  • DOI: https://doi.org/10.1007/978-981-13-5907-1_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5906-4

  • Online ISBN: 978-981-13-5907-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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