Mashing Up Software Issue Management, Development, and Usage Data
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Mashing Up Software Issue Management, Development, and Usage Data. / Mattila, Anna-Liisa; Lehtonen, Timo; Terho, Henri; Mikkonen, Tommi; Systä, Kari.
2015 IEEE/ACM 2nd International Workshop on Rapid Continuous Software Engineering (RCoSE). The Institute of Electrical and Electronics Engineers, Inc., 2015. p. 26-29.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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TY - GEN
T1 - Mashing Up Software Issue Management, Development, and Usage Data
AU - Mattila, Anna-Liisa
AU - Lehtonen, Timo
AU - Terho, Henri
AU - Mikkonen, Tommi
AU - Systä, Kari
PY - 2015/7/24
Y1 - 2015/7/24
N2 - Modern software development approaches rely extensively on tools. Motivated by practices such as continuous integration, deployment and delivery, these tools are used in a fashion where data are automatically accumulated in different databases as a side-effect of everyday development activities. In this paper we introduce an approach for software engineering data visualization as a mash up that combines data from issue management, software development and production use. The visualization can show to all stake holders how well continuous delivery is realized in the project. The visualization clearly shows the time spent to specify and develop the features as well the length of the delivery cycle. Further more the visualization shows how much work is unfinished and waiting for delivery. This can help the development team to decrease the amount of unfinished work and by that help them to keep up in continuous delivery mind set. In addition to development data usage of the features is also visualized.
AB - Modern software development approaches rely extensively on tools. Motivated by practices such as continuous integration, deployment and delivery, these tools are used in a fashion where data are automatically accumulated in different databases as a side-effect of everyday development activities. In this paper we introduce an approach for software engineering data visualization as a mash up that combines data from issue management, software development and production use. The visualization can show to all stake holders how well continuous delivery is realized in the project. The visualization clearly shows the time spent to specify and develop the features as well the length of the delivery cycle. Further more the visualization shows how much work is unfinished and waiting for delivery. This can help the development team to decrease the amount of unfinished work and by that help them to keep up in continuous delivery mind set. In addition to development data usage of the features is also visualized.
KW - Continuous Delivery
KW - Information Visualization
KW - Software Analytics
U2 - 10.1109/RCoSE.2015.12
DO - 10.1109/RCoSE.2015.12
M3 - Conference contribution
SN - 9781479919345
SP - 26
EP - 29
BT - 2015 IEEE/ACM 2nd International Workshop on Rapid Continuous Software Engineering (RCoSE)
PB - The Institute of Electrical and Electronics Engineers, Inc.
ER -