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The majority of organisations are globalising their software development activities by following the ideas of global software development (GSD). The motivation behind the adoption of GSD phenomena are the list of benefits gained by the software industry. However, there are different challenges face by the GSD organisations, particularly the issues related to software process improvement (SPI). The aim of this study is the identification and classification into categories of the success factors that can impact SPI initiatives taken in GSD organisations. The systematic literature review (SLR) method has been used to extract the success factors from the literature. SLR phases, 'planning, conducting, and reporting the review' have been followed to perform this study. Totally, 15 success factors were identified and classified into the six main categories. The authors have also reported the critical success factors of SPI, i.e. management commitment, staff involvement, roles and responsibilities, communication, and resources allocation. This article also reported the similarities and differences between the success factors classified on the bases of client‐vendor organisation and size of the organisation. The identified factors can contribute towards the implementation of SPI programme in both client and vendor GSD organisations because these factors represent key areas of process improvement. [ABSTRACT FROM AUTHOR]

Nowadays, many software development organisations are globalising their work throughout the world. The motivation behind the software globalisation is competitive advantage and business profits that it yields to an organisation. Besides, these organisations are facing various challenges due to the distributed nature of the software development. However, software process improvement (SPI) is one of the biggest issues in the domain of global software development (GSD). The aim of this research study is to identify success factors and barriers to assist GSD organisations for successful implementation of SPI program. Accordingly, a systematic literature review approach was adopted to identify the success factors and barriers. A total of nine success factors and six barriers were identified that could impact SPI. Using the criteria of the factors having a frequency >50% as critical, total four success factors were ranked as critical success factors, i.e. management commitment, staff involvement, allocated resources and pilot projects. Moreover, total four barriers were classified as critical barriers, i.e. lack of resources, inexperienced staff, organisational politics and time pressure. [ABSTRACT FROM AUTHOR]

The phenomena of global software development (GSD) face many challenges that are specifically associated with software process improvement (SPI). The main objective of this work is to develop the prioritization-based taxonomy of the SPI success factors using the fuzzy AHP approach. Total of twenty-one factors were extracted from the available literature that were further evaluated by conducting questionnaire survey with the SPI experts. In the second stage, multi-criterion decision making (MCDM) fuzzy AHP tool was used to prioritize and develop the taxonomy of the identified factors and their categories. The implications of fuzzy AHP approach are novel in this research area as it has been successfully used previously in different other domains e.g. electrical and electronics, supplier selection, agile software development and personnel selection. The contribution of this study is not only limited to the development of the factor's taxonomy, but also their proper prioritization by introducing the novel fuzzy AHP approach in the research field of GSD and SPI, which assist to remove the vagueness and uncertainty in the opinion of the process improvement experts. • Identifying the factors which positively affects the SPI practices in GSD environment. • Categorizing the identified factors according to their types. • Identifying the factors in the real world practices which positively affects the SPI practices in GSD environment. • Prioritizing the success factors using fuzzy AHP methods by collecting responses of pair-wise comparison of factors. [ABSTRACT FROM AUTHOR]