Context. Large-scale software development projects are those consisting of a large number of teams, maybe even spread across multiple locations, and working on large and complex software tasks. That means that neither a team member individually nor an entire team holds all the knowledge about the software being developed and teams have to communicate and coordinate their knowledge. Therefore, teams and team members in large-scale software development projects must acquire and manage expertise as one of the critical resources for high-quality work. Objectives. We aim at understanding whether software teams in different contexts develop transactive memory systems (TMS) and whether well-developed TMS leads to performance benefits as suggested by research conducted in other knowledge-intensive disciplines. Because multiple factors may influence the development of TMS, based on related TMS literature we also suggest to focus on task allocation strategies, task characteristics and management decisions regarding the project structure, team structure and team composition. Methods. We use the data from two large-scale distributed development companies and 9 teams, including quantitative data collected through a survey and qualitative data from interviews to measure transactive memory systems and their role in determining team performance. We measure teams’ TMS with a latent variable model. Finally, we use focus group interviews to analyze different organizational practices with respect to team management, as a set of decisions based on two aspects: team structure and composition, and task allocation. Results. Data from two companies and 9 teams are analyzed and the positive influence of well-developed TMS on team performance is found. We found that in large-scale software development, teams need not only well-developed team’s internal TMS, but also have well- developed and effective team’s external TMS. Furthermore, we identified practices that help of hinder development of TMS in large-scale projects. Conclusions. Our findings suggest that teams working in large-scale software development can achieve performance benefits if transactive memory practices within the team are supported with networking practices in the organization.

Context and Background: Global Software Development involves teams located in different geographical locations, time zones, and cultural contexts working together to accomplish a shared goal or complete a software project. These projects, which are conducted by teams in different locations, have been found to be more risky and challenging than those with teams in the same location. Therefore, it is important to have knowledge of the potential challenges of task allocation in global software development and strategies for addressing them to manage a GSD project successfully. Objective: This thesis aims to identify and tabulate all the Task allocation challenges in Global Software Development and synthesize the mitigation strategies for the challenges identified in task allocation in GSD. To evaluate the challenges that influence the task allocation process in GSD and perform an assessment to find the mitigation strategies for these challenges. Research Method: This is a systematic literature review of studies on empirical research on GSD, covering publications from 1999 to 2022. The focus of this research is specifically on challenges associated with task allocation in GSD projects. A survey was conducted to validate the identified challenges and gather suggestive mitigation strategies. This research aimed to identify task allocation challenges in GSD and suggest mitigation strategies in GSD projects. Results: This research has identified a total of 20 challenges related to task allocation in Global software development based on a review of publications from 1999 to 2022. Additionally, the mitigation strategies for the 20 identified challenges were found in a survey conducted as part of the research. The challenges and mitigation strategies are discussed in the paper.

Requirements engineering remains an important discipline to reduce costs, development times and improve quality in software engineering projects. With Agile methods gaining prominence in a rapidly globalized world, many requirements engineering efforts are today made in distributed contexts, with both teams and stakeholders being separated by physical and organisational distances. At the same time, it is not well understood how agile methods for requirements engineering apply to distributed contexts. This thesis investigates the implementation and use of agile methods for requirements engineering in distributed software engineering contexts. Observations made over a three-month study of the CHAMP project, a joint IT and process development effort between major European truck manufacturers Scania and MAN, are used to assess how commonly practices agile methods perform when implemented over distances. The case study of the CHAMP study suggests that the implementation of agile methods is highly context-sensitive, with limited current opportunities to formulate general heuristics for successful applications. The results of the CHAMP study indicate that distributed contexts hamper team communications when compared to co-located efforts, making it more difficult to implement an overall agile project model. However, individual methods, particularly the use of work backlogs, are found to offer increased structural flexibility beneficial to distributed workflows. Additionally, the CHAMP observations suggest implementing agile methods in new contexts requires an organisational mandate, as agile workflows are less predictable than linear models and can expose the surrounding organisation to higher uncertainty. / Kravhantering är fortsatt ett viktigt verktyg för att reducera kostnader, utvecklingstider och öka leveranskvalitet i mjukvaruutveklingsprojekt. Då agila metoder har blivit allt vanligare i en snabbt globaliserad värld, genomförs idag många kravhanteringsprocesser i utspridda sammanhang, där både projektets personal och intressenter är separerade av fysiska och organisatoriska avstånd. Samtidigt är det inte väl förstått hur agila metoder för kravhantering applicerar i utspridda sammanhang. Detta examensarbete undersöker hur agila metoder han implementeras och användas för kravhanteringsprocesser i utspridda mjukvaruutvecklingsprocesser. Observationer insamlade under en tremånadersstudie av CHAMP-projektet, ett gemensamt IT- och affärsutvecklingsprojekt mellan de stora europeiska lastbilstillverkarna Scania och MAN, används för att bedöma hur vanligt förekommande agila metoder fungerar när de tillämpas i agila sammanhang. Fallstudien av CHAMP-projektet indikerar att den specifika kontexten kan kraftigt påverka implementationen ag agila metoder, vilket för närvarande begränsar möjligheten att formulera generella tumregler för hur de framgångsrikt kan lanseras. CHAMP-studiens resultat påvisar att utspridda projekt har svårare att kommunicera jämför med samlokaliserade grupper, vilket gör det svårare att implementera sammanhållet agila projektmodeller. Samtidigt kan enskilda agila metoder, särskilt användningen av backlogs, hjälpa till att öka flexibiliteten i projekt, vilket är värdefullt i utspridda arbetsprocesser. Slutligen påvisar observationerna från CHAMP-projektet att det är viktigt med ett organisatoriskt mandat vid implementationen av agila metoder, då de är mindre förutsägbara än linjära processer och kan utsätta omkringliggande organisationer för högre osäkerhet.