Abstract | ||
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Retrospective (retro) sessions are an important part of Agile/Scrum process for software development. In theory, conducting retro sessions each sprint should improve team dynamics and productivity. In praxis, retro sessions also have some disadvantages/hurdles that are hard to overcome: they are non-anonymous and time consuming. The goal of our project, conducted in collaboration between Shine Solutions and RMIT University, is to analyse the existing hurdles from industry-prospective and to provide an AI-based solution to overcome them. The two main outcomes of the project are (1) a web-based solution to support retro-sessions, and (2) a qualitative analysis of two speech recognition tools, Google Home and Amazon Alexa, to be connected with the elaborated solution to populate the retro board and help in time boxing a retro by using voice activated commands. (C) 2019 The Authors. Published by Elsevier B.V. |
Year | DOI | Venue |
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2019 | 10.1016/j.procs.2019.09.416 | Procedia Computer Science |
Keywords | Field | DocType |
Agile,Project Management,Software Engineering,Collaboration | Scrum,Praxis,Computer science,Agile software development,Artificial intelligence,Multimedia,Sprint,Machine learning,Software development,Voice command device | Conference |
Volume | ISSN | Citations |
159 | 1877-0509 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Purwa Kishor Gaikwad | 1 | 1 | 0.35 |
Chris Theodore Jayakumar | 2 | 1 | 0.35 |
Eashan Tilve | 3 | 1 | 0.35 |
Niraj Bohra | 4 | 1 | 0.35 |
Wenfei Yu | 5 | 1 | 0.35 |
Maria Spichkova | 6 | 75 | 25.14 |