Comparative study of SPI success factors in global and in-house environment for large-scale software companies

Author:

Iqbal Javed1,Jibran Haris2,Al-Shamayleh Ahmad Sami3,Abbas Fakhar4,Akhunzada Adnan5,Alharthi Salman Z.6,Gani Abdullah7

Affiliation:

1. Department of Computer Science, COMSATS University, Islamabad, Pakistan

2. Computer Science Department, COMSATS University, Islamabad, Pakistan

3. Department of Networks & Cybersecurity, Faculty of Information Technology, Al-Ahliyya Amman University, Amman, Jordan

4. Centre for Trusted Internet and Community, National University of Singapore, Singapore, Singapore

5. College of Computing & IT, University of Doha for Science & Technology, Doha, Qatar

6. Department of Information System, College of Computers and Information Systems, Umm AL-Qura University, Al-lith, Saudi Arabia

7. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

Abstract

Background Software process improvement (SPI) is an indispensable phenomenon in the evolution of a software development company that adopts global software development (GSD) or in-house development. Several software development companies do not only adhere to in-house development but also go for the GSD paradigm. Both development approaches are of paramount significance because of their respective advantages. Many studies have been conducted to find the SPI success factors in the case of companies that opt for in-house development. Still, less attention has been paid to the SPI success factors in the case of the GSD environment for large-scale software companies. Factors that contribute to the SPI success of small as well as medium-sized companies have been identified, but large-scale companies have still been overlooked. The research aims to identify the success factors of SPI for both development approaches (GSD and in-house) in the case of large-scale software companies. Methods Two systematic literature reviews have been performed. An industrial survey has been conducted to detect additional SPI success factors for both development environments. In the subsequent step, a comparison has been made to find similar SPI success factors in both development environments. Lastly, another industrial survey is conducted to compare the common SPI success factors of GSD and in-house software development, in the case of large-scale companies, to divulge which SPI success factor carries more value in which development environment. For this reason, parametric (Pearson correlation) and non-parametric (Kendall’s Tau correlation and the Spearman correlation) tests have been performed. Results The 17 common SPI factors have been identified. The pinpointed common success factors expedite and contribute to SPI in both environments in the case of large-scale companies.

Funder

Umm AL-Qura University, Al-lith, Saudi Arabia

Publisher

PeerJ

Subject

General Computer Science

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