MuNDDoS: A Research Group on Global Software Development

Prikladnicki, Rafael; Marczak, Sabrina; Audy, Jorge Luis Nicolas

doi:10.1109/icgse.2006.261245

Cited by 7 publications

(18 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We performed a pilot experiment that allowed us to identify some relevant works to the theme of our research. For this, the following studies were considered for testing the search string: Lamersdorf and Münch [15], Almeida and Albuquerque [16], and Prikladnicki et al [17].…”

Section: Defining Search Strategymentioning

confidence: 99%

“…Some approaches were based on multicriteria methods ( [16,34]), one tool used Fuzzy Logic [23], one model adopted simulation techniques [27], and another based on the Bokhari algorithm and Bayesian networks [15]. Also, some approaches have been devoted to indicating the best recommendation for the allocation (e.g., [15,35]), while others have proposed reference models and processes for the allocation flow of tasks (e.g., [17,19]).…”

Section: Question Analysismentioning

confidence: 99%

“…Lamersdorf and Münch [15] classified the factors (or criteria) for task allocation in standard and custom software development. Prikladnicki [17] identified five categories of factors: development process, project, stakeholders, organization, and dispersion. Ruano-Mayoral et al [19], in turn, defined metrics for the factors used in their framework.…”

Section: Complexitymentioning

confidence: 99%

See 2 more Smart Citations

Task Allocation in Distributed Software Development: A Systematic Literature Review

et al. 2018

View full text Add to dashboard Cite

Distributed development is a constant need in the software industry. The allocation of tasks, in turn, is a critical activity for any project, especially in a distributed setting. Assigning a task to an individual or team can be done in a rigorous manner, taking into account a number of factors. In this scenario, the more data on factors that influence task assignment are available to support the assignment decision, the more likely the project will succeed. As a result, companies have been looking to build their big data with historical project data, aiming to better their chances of success. Some studies about task allocation in distributed software development (DSD) have been carried out along the years aiming at mapping this topic and its features. Also, some approaches, models, and frameworks to task allocation in DSD have been proposed. This paper presents a systematic review of the literature whose objective is to identify works based on multicriteria models for assigning tasks in DDS projects, especially those based on qualitative decision-making methods, considering the cognitive validity present in some of these methods. The review results allowed identifying several interesting aspects and classifying the works according to a set of questions. In addition, it has made some important findings that may be very useful for those who intend to conduct research with qualitative multicriteria methods, since some of them employ techniques considered psychologically valid to address the complexity of the decision about the task allocation in distributed projects.

show abstract

Section: Defining Search Strategymentioning

confidence: 99%

Section: Question Analysismentioning

confidence: 99%

Section: Complexitymentioning

confidence: 99%

See 1 more Smart Citation

Task Allocation in Distributed Software Development: A Systematic Literature Review

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Prikladnicki et al presented Maturity in Distributed Development of Software (MuNDDoS), a reference model for distributed software development. In MuNDDoS, they proposed a project allocation process that involves the selection of projects to be developed in each distributed unit, according to an allocation policy defined by the organization.…”

Section: Task Allocation In Distributed Software Developmentmentioning

confidence: 99%

Analysis of task allocation in distributed software development through a hybrid methodology of verbal decision analysis

2017

View full text Add to dashboard Cite

The management of distributed software development projects presents many challenges. One of them happens right at the start of the project and consists of the allocation of tasks between remote teams. When allocating a task to a site, the project manager takes into account several factors such as technical knowledge of staff and proximity to the client. The project manager usually takes this decision in a subjective way. The verbal decision analysis is an approach based on solving problems through multicriteria qualitative analysis, which means it considers the analysis of subjective criteria. This paper describes the application of verbal decision analysis methods ORdinal CLASSification and ZAPROS III-i to classify and rank the most relevant factors that the project managers should take into account when allocating tasks in projects of distributed software development. KEYWORDSdistributed software development, multi-criteria decision analysis, ORCLASS Method, task allocation, verbal decision analysis, ZAPROS III-i method | INTRODUCTIONThe distributed software development (DSD) is a reality more and more present in modern companies. The perspective to expand the workforce capacity, the conquest of new markets, and the cost reduction possibility are some of the reasons that make software development companies adopt distributed development.1 On the other hand, the distribution brings many challenges, such as language and time zone differences and increased complexity of coordinating and controlling the project. 2 In this context, the allocation of tasks is an even more critical activity for project planning because of the distribution. 3 The distribution of tasks to remote teams can be seen as a fundamental activity for the success of a distributed project.However, this activity is still a major challenge in global software development due to limited understanding of the factors that influence task allocation decisions.4Deciding which task we should allocate for each team is typically a decision-making problem. Routinely, the project manager makes this decision based on their experience and knowledge about the project and the teams involved. We mean that a high degree of subjectivity is present in the decision-making process. This is an appropriate setting for verbal decision analysis (VDA), which consists of an approach based on multicriteria problem solving through its qualitative analysis, 5 ie, VDA methods take into consideration the criteria's subjectivity.This paper describes the application of a hybrid methodology using VDA methods to classify and rank order the most relevant factors to be considered by project managers when allocating tasks in distributed software development projects. First, expert interviews were conducted to identify the criteria and the criteria values. Then, a questionnaire was applied to a group of project managers to characterize each factor through the criteria and criteria values. Next, the ORdinal CLASSification (ORCLASS) method was applied to divide the factors into pref...

show abstract

“…Challenge 10: In order to avoid possible challenges due to the physical distance, we set a proper infrastructure in the MuNDDoS [40] research lab in Brazil, including teleconference systems, communication and collaboration software tools. We also conducted trips to meet the other researchers face-to-face during the study planning and also during the analysis.…”

Section: Proceedings Of the 41st Hawaii International Conference On Smentioning

confidence: 99%

Conducting Qualitative Research in an International and Distributed Research Team: Challenges and Lessons Learned

Prikladnicki

Evaristo

Damian

et al. 2008

Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)

Self Cite

View full text Add to dashboard Cite

In this paper, we discuss challenges for planning and executing qualitative research conducted by an international research project team. The study comprised an exploratory examination of strategies of offshoring and onshoring for software development. An important methodological challenge is that the members of the research team live in different countries, rely on different languages and originate from different cultures. These challenges are in many ways analogous to those inherent in the subject we are researching, distributed software development. To explore these issues, we present the difficulties we faced on collecting and analyzing the qualitative data. Our main contribution is the identification of challenges, strategies to overcome them, and a set of lessons learned.

show abstract

MuNDDoS: A Research Group on Global Software Development

Cited by 7 publications

References 12 publications

Task Allocation in Distributed Software Development: A Systematic Literature Review

Task Allocation in Distributed Software Development: A Systematic Literature Review

Analysis of task allocation in distributed software development through a hybrid methodology of verbal decision analysis

Conducting Qualitative Research in an International and Distributed Research Team: Challenges and Lessons Learned

Contact Info

Product

Resources

About