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How does acquirer's participation influence performance of software projects: A quantitative analysis

Research output: Contribution to Journal/MagazineConference articlepeer-review

Published

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How does acquirer's participation influence performance of software projects: A quantitative analysis. / Wang, Yasha; Wang, Jiangtao; Ma, Jiakuan et al.
In: Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, Vol. 2013, 01.01.2013, p. 537-541.

Research output: Contribution to Journal/MagazineConference articlepeer-review

Harvard

Wang, Y, Wang, J, Ma, J & Xie, B 2013, 'How does acquirer's participation influence performance of software projects: A quantitative analysis', Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, vol. 2013, pp. 537-541.

APA

Wang, Y., Wang, J., Ma, J., & Xie, B. (2013). How does acquirer's participation influence performance of software projects: A quantitative analysis. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, 2013, 537-541.

Vancouver

Wang Y, Wang J, Ma J, Xie B. How does acquirer's participation influence performance of software projects: A quantitative analysis. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE. 2013 Jan 1;2013:537-541.

Author

Wang, Yasha ; Wang, Jiangtao ; Ma, Jiakuan et al. / How does acquirer's participation influence performance of software projects : A quantitative analysis. In: Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE. 2013 ; Vol. 2013. pp. 537-541.

Bibtex

@article{b404d780208d422b9bb8295a1557d9e3,
title = "How does acquirer's participation influence performance of software projects: A quantitative analysis",
abstract = "In custom software development projects, software acquirer always participates in software development processes acting as collaborator, reviewer or supervisor. The acquirer participation has a significant influence on project performance. In practice, the plans of acquirer participation are often made by project managers according to their personal experience or intuition, and the quality of the plan is difficult to guarantee. Moreover, because of lacking objective evaluation criterion for the plan, it's hard for the acquirer and the supplier to reach an agreement or compromise when they have different opinions. To solve this problem, this paper collects historical data of 25 software projects and establishes a quantitative model of relationship between the acquirer participation and project performance by leveraging a variable-selection-based regression analysis approach. The quantitative model provides guidance for making acquirer participation plans. Furthermore, a review of 9 experienced project managers was conducted to evaluate the model's validity.",
keywords = "Project performance, Quantitative analysis, Software acquirer, Software process",
author = "Yasha Wang and Jiangtao Wang and Jiakuan Ma and Bing Xie",
year = "2013",
month = jan,
day = "1",
language = "English",
volume = "2013",
pages = "537--541",
journal = "Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE",
issn = "2325-9000",
note = "25th International Conference on Software Engineering and Knowledge Engineering, SEKE 2013 ; Conference date: 27-06-2013 Through 29-06-2013",

}

RIS

TY - JOUR

T1 - How does acquirer's participation influence performance of software projects

T2 - 25th International Conference on Software Engineering and Knowledge Engineering, SEKE 2013

AU - Wang, Yasha

AU - Wang, Jiangtao

AU - Ma, Jiakuan

AU - Xie, Bing

PY - 2013/1/1

Y1 - 2013/1/1

N2 - In custom software development projects, software acquirer always participates in software development processes acting as collaborator, reviewer or supervisor. The acquirer participation has a significant influence on project performance. In practice, the plans of acquirer participation are often made by project managers according to their personal experience or intuition, and the quality of the plan is difficult to guarantee. Moreover, because of lacking objective evaluation criterion for the plan, it's hard for the acquirer and the supplier to reach an agreement or compromise when they have different opinions. To solve this problem, this paper collects historical data of 25 software projects and establishes a quantitative model of relationship between the acquirer participation and project performance by leveraging a variable-selection-based regression analysis approach. The quantitative model provides guidance for making acquirer participation plans. Furthermore, a review of 9 experienced project managers was conducted to evaluate the model's validity.

AB - In custom software development projects, software acquirer always participates in software development processes acting as collaborator, reviewer or supervisor. The acquirer participation has a significant influence on project performance. In practice, the plans of acquirer participation are often made by project managers according to their personal experience or intuition, and the quality of the plan is difficult to guarantee. Moreover, because of lacking objective evaluation criterion for the plan, it's hard for the acquirer and the supplier to reach an agreement or compromise when they have different opinions. To solve this problem, this paper collects historical data of 25 software projects and establishes a quantitative model of relationship between the acquirer participation and project performance by leveraging a variable-selection-based regression analysis approach. The quantitative model provides guidance for making acquirer participation plans. Furthermore, a review of 9 experienced project managers was conducted to evaluate the model's validity.

KW - Project performance

KW - Quantitative analysis

KW - Software acquirer

KW - Software process

M3 - Conference article

AN - SCOPUS:84937706761

VL - 2013

SP - 537

EP - 541

JO - Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE

JF - Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE

SN - 2325-9000

Y2 - 27 June 2013 through 29 June 2013

ER -