Details
| Original language | English |
|---|---|
| Title of host publication | Human-Centered Software Engineering |
| Subtitle of host publication | 7th IFIP WG 13.2 International Working Conference, HCSE 2018, Revised Selected Papers |
| Editors | Marta Kristín Lárusdóttir, Marco Winckler, Kati Kuusinen, Philippe Palanque, Cristian Bogdan |
| Pages | 31-50 |
| Number of pages | 20 |
| Edition | 1. |
| ISBN (electronic) | 978-3-030-05909-5 |
| Publication status | Published - 1 Jan 2019 |
| Event | 7th International Working Conference on Human-Centered Software Engineering, HCSE 2018 - Sophia Antipolis, France Duration: 3 Sept 2018 → 5 Sept 2018 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11262 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Software process improvement is a very important topic. Almost all companies and organizations face the necessity for improvement sooner or later. Sometimes, there is obvious potential for improvement (e.g., if the number of developers does not fit the project size). Nonetheless, fixing all obvious issues does not necessarily lead to a “perfect” project. There are a lot of interdependencies between project parameters that are difficult to detect – sometimes due to the influences of social aspects which can be hardly grasped. We want to support the process of improving daily work by simulating and visualizing how project parameters evolve over time. Our approach is based on building a System Dynamics model that takes into account key performance indicators as well as assumptions about social aspects. In the present case, we chose parameters of capacity, customer satisfaction, and mood. The model uncovers interdependencies between the available parameters. Furthermore, it is able to simulate consequences of different preconditions and incidents during a sprint such as change requests. In this contribution, we present our approach and apply it in a case study with three agile teams in industry. We build a System Dynamics model and use it for sprint simulations. Our analysis determined, e.g., the teams’ productivity during the sprint and their workload each day. The simulation increased the teams’ awareness of the negative influences due to interventions during the sprint.
Keywords
- Agile software development teams, Process improvement, Simulation, Social aspects, System dynamics
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
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Human-Centered Software Engineering: 7th IFIP WG 13.2 International Working Conference, HCSE 2018, Revised Selected Papers. ed. / Marta Kristín Lárusdóttir; Marco Winckler; Kati Kuusinen; Philippe Palanque; Cristian Bogdan. 1. ed. 2019. p. 31-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11262 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Helping teams to help themselves
T2 - 7th International Working Conference on Human-Centered Software Engineering, HCSE 2018
AU - Klünder, Jil
AU - Kortum, Fabian
AU - Ziehm, Thorsten
AU - Schneider, Kurt
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Software process improvement is a very important topic. Almost all companies and organizations face the necessity for improvement sooner or later. Sometimes, there is obvious potential for improvement (e.g., if the number of developers does not fit the project size). Nonetheless, fixing all obvious issues does not necessarily lead to a “perfect” project. There are a lot of interdependencies between project parameters that are difficult to detect – sometimes due to the influences of social aspects which can be hardly grasped. We want to support the process of improving daily work by simulating and visualizing how project parameters evolve over time. Our approach is based on building a System Dynamics model that takes into account key performance indicators as well as assumptions about social aspects. In the present case, we chose parameters of capacity, customer satisfaction, and mood. The model uncovers interdependencies between the available parameters. Furthermore, it is able to simulate consequences of different preconditions and incidents during a sprint such as change requests. In this contribution, we present our approach and apply it in a case study with three agile teams in industry. We build a System Dynamics model and use it for sprint simulations. Our analysis determined, e.g., the teams’ productivity during the sprint and their workload each day. The simulation increased the teams’ awareness of the negative influences due to interventions during the sprint.
AB - Software process improvement is a very important topic. Almost all companies and organizations face the necessity for improvement sooner or later. Sometimes, there is obvious potential for improvement (e.g., if the number of developers does not fit the project size). Nonetheless, fixing all obvious issues does not necessarily lead to a “perfect” project. There are a lot of interdependencies between project parameters that are difficult to detect – sometimes due to the influences of social aspects which can be hardly grasped. We want to support the process of improving daily work by simulating and visualizing how project parameters evolve over time. Our approach is based on building a System Dynamics model that takes into account key performance indicators as well as assumptions about social aspects. In the present case, we chose parameters of capacity, customer satisfaction, and mood. The model uncovers interdependencies between the available parameters. Furthermore, it is able to simulate consequences of different preconditions and incidents during a sprint such as change requests. In this contribution, we present our approach and apply it in a case study with three agile teams in industry. We build a System Dynamics model and use it for sprint simulations. Our analysis determined, e.g., the teams’ productivity during the sprint and their workload each day. The simulation increased the teams’ awareness of the negative influences due to interventions during the sprint.
KW - Agile software development teams
KW - Process improvement
KW - Simulation
KW - Social aspects
KW - System dynamics
UR - http://www.scopus.com/inward/record.url?scp=85059964208&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05909-5_3
DO - 10.1007/978-3-030-05909-5_3
M3 - Conference contribution
AN - SCOPUS:85059964208
SN - 978-3-030-05908-8
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 31
EP - 50
BT - Human-Centered Software Engineering
A2 - Lárusdóttir, Marta Kristín
A2 - Winckler, Marco
A2 - Kuusinen, Kati
A2 - Palanque, Philippe
A2 - Bogdan, Cristian
Y2 - 3 September 2018 through 5 September 2018
ER -