Controlling and monitoring agile software development in three dutch product software companies

Impact Factors ◽

Distributed Teams ◽

Agile Methods ◽

Team Members ◽

Software Companies ◽

Distributed Team ◽

The Usa ◽

<p>Team co-location is a hallmark of Agile software development that advocates face-to-face interaction and close collaboration among team members. Distributed teams, however, use Agile methods despite the separation of team members through space, time and culture. Little is known about how distributed teams use Agile methods for software development. A Grounded Theory research study that involved 55 participants from 38 different software companies in the USA, India, and Australia was carried out to investigate the key concern of distributed teams in Agile software development. This thesis proposes “The Theory of One Team” which explains how a distributed team in Agile software development adopts explicit strategies for bridging spatial, temporal, and socio-cultural distances, while facing critical impact factors, in order to become one team. This thesis primarily describes how a distributed team resolves the key concern of becoming one team. This thesis also provides the members of a distributed team with techniques for building trust with one another. In addition, this thesis serves to inform senior managers about the importance of supporting distributed teams in Agile software development.</p>

Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement on - IWSM Mensura '17 ◽

Effective monitoring of progress of agile software development teams in modern software companies

10.1145/3143434.3143449 ◽

2017 ◽

Cited By ~ 4

Author(s):

Wilhelm Meding

Keyword(s):

Software Development ◽

Software Companies ◽

Development Teams ◽

Software Development Teams ◽

The Theory of One Team: Agile Software Development with Distributed Teams

10.26686/wgtn.17005930.v1 ◽

2021 ◽

Author(s):

◽

Siva Dorairaj

Keyword(s):

Software Development ◽

Impact Factors ◽

Distributed Teams ◽

Agile Methods ◽

Team Members ◽

Software Companies ◽

Distributed Team ◽

The Usa ◽

<p>Team co-location is a hallmark of Agile software development that advocates face-to-face interaction and close collaboration among team members. Distributed teams, however, use Agile methods despite the separation of team members through space, time and culture. Little is known about how distributed teams use Agile methods for software development. A Grounded Theory research study that involved 55 participants from 38 different software companies in the USA, India, and Australia was carried out to investigate the key concern of distributed teams in Agile software development. This thesis proposes “The Theory of One Team” which explains how a distributed team in Agile software development adopts explicit strategies for bridging spatial, temporal, and socio-cultural distances, while facing critical impact factors, in order to become one team. This thesis primarily describes how a distributed team resolves the key concern of becoming one team. This thesis also provides the members of a distributed team with techniques for building trust with one another. In addition, this thesis serves to inform senior managers about the importance of supporting distributed teams in Agile software development.</p>

Measurement and structural model of agile software development critical success factors

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.12776 ◽

2018 ◽

Vol 7 (3) ◽

pp. 1236

Author(s):

Vinay Kukreja ◽

Sachin Ahuja ◽

Amitoj Singh

Keyword(s):

Software Development ◽

Structural Equation ◽

Success Factors ◽

Structural Model ◽

Measurement Model ◽

Equation Modeling ◽

Software Projects ◽

Software Companies ◽

Purpose: Agile methodologies have emerged as an innovative and successful business changing way for software development companies since the success rate for completing the software projects on time and budget is better than conventional methodologies. This study proposes a theoretical framework of success factors for agile software development and validates the proposed framework using structural equation modeling.Design Methodology: A survey based random sampling was performed for data collection from 201 respondents identified from the pool of agile practitioners in software companies. Structural Equation Modeling performed on the collected data to validate measurement model as well as the structural model.Findings: The theoretical model was confirmed with modifications and the results showed that required level of fitness indexes have been achieved for the measurement model and structural model. The validation of the factors has also been done.Originality/Value: This study will guide the agile practitioners, academicians and project managers to focus more on the particular success factors which have high weight towards project success.

An Effort Estimation Taxonomy for Agile Software Development

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194017500243 ◽

2017 ◽

Vol 27 (04) ◽

pp. 641-674 ◽

Cited By ~ 9

Author(s):

Muhammad Usman ◽

Jürgen Börstler ◽

Kai Petersen

Keyword(s):

Software Development ◽

Design Method ◽

Complete Information ◽

Future Research ◽

Effort Estimation ◽

Four Dimensions ◽

Software Companies ◽

Faceted Classification ◽

In Agile Software Development (ASD) effort estimation plays an important role during release and iteration planning. The state of the art and practice on effort estimation in ASD have been recently identified. However, this knowledge has not yet been organized. The aim of this study is twofold: (1) To organize the knowledge on effort estimation in ASD and (2) to use this organized knowledge to support practice and the future research on effort estimation in ASD. We applied a taxonomy design method to organize the identified knowledge as a taxonomy of effort estimation in ASD. The proposed taxonomy offers a faceted classification scheme to characterize estimation activities of agile projects. Our agile estimation taxonomy consists of four dimensions: estimation context, estimation technique, effort predictors and effort estimate. Each dimension in turn has several facets. We applied the taxonomy to characterize estimation activities of 10 agile projects identified from the literature to assess whether all important estimation-related aspects are reported. The results showed that studies do not report complete information related to estimation. The taxonomy was also used to characterize the estimation activities of four agile teams from three different software companies. The practitioners involved in the investigation found the taxonomy useful in characterizing and documenting the estimation sessions.