Software Project Management Approaches for Global Software Development: A Systematic Mapping Study
Software Project Management Approaches for Global Software Development: A Systematic Mapping Study作者机构:Software Project Management Research Team Ecole Nationale SuperieuredInformatique et d'Analyse des Systemes (ENSIAS)Mohammed V University Rabat 713 Morocco Department of Informaticay Sistemas University of Murcia Murcia 30100 Spain ALARCOS Research GroupDepartment of Information Systems and TechnologiesUniversity of Castilla-La Mancha (UCLM) Ciudad Real13071 Spain
出 版 物:《Tsinghua Science and Technology》 (清华大学学报(自然科学版(英文版))
年 卷 期:2018年第23卷第6期
页 面:690-714页
核心收录:
学科分类:08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:the research project MPHR PPR1-09 the Moroccan MESRSFC and CNRST for their support a part of the GINSENC-UCLM(TIN2015-70259-C2-1-R)and GINSENG-UMU(TIN2015-70259-C2-2-R)projects,supported by the Spanish Ministry of Economy,Industry,and Competitiveness and European FEDER funds
主 题:Software Project Management (SPM) Global Software Development (GSD) SPM approaches Systematic Mapping Study (SMS)
摘 要:Global Software Development (GSD) is a well established field of software engineering with the benefits of a global environment. Software Project Management (SPM) plays a key role in the success of GSD. As a result, the need has arisen to study and evaluate the downsides of SPM for GSD, to thereby pave the way for the development of new methods, techniques, and tools with which to tackle them. This paper aims to identify and classify research on SPM approaches for GSD that are available in the literature, to identify their current weaknesses and strengths, and to analyze their applications in industry. We performed a Systematic Mapping Study (SMS) based on six classification criteria. Eighty-four papers were selected and analyzed. The results indicate that interest in SPM for GSD has been increasing since 2006. As a class of approaches, the most frequently reported methods (40%) are those used for coordination, planning, and monitoring, along with estimation techniques that can be used to better match a distributed project. SPM for GSD requires further investigation by researchers and practitioners, particularly with respect to cost and time estimations. These findings will help overcome the challenges that must to be considered in future SPM research for GSD, especially regarding collaboration and time-zone differences.