2020
Lu, Chien; Koskinen, Elina; Leorke, Dale; Nummenmaa, Timo; Peltonen, Jaakko
The World Is Your Playground: A Bibliometric and Text Mining Analysis of Location-Based Game Research Proceedings Article
In: Brooks, Anthony; Brooks, Eva Irene; Jonathan, Duckworth (Ed.): Interactivity and Game Creation: 9th EAI International Conference, ArtsIT 2020, Aalborg, Denmark, December 10–11, 2020, Proceedings, pp. 160-179, Springer, 2020, ISBN: 9783030734251.
Links | Tags: Bibliometric analysis, Location-based game, Text mining, Topic modeling
@inproceedings{Lu2020d,
title = {The World Is Your Playground: A Bibliometric and Text Mining Analysis of Location-Based Game Research},
author = {Chien Lu and Elina Koskinen and Dale Leorke and Timo Nummenmaa and Jaakko Peltonen},
editor = {Anthony Brooks and Eva Irene Brooks and Duckworth Jonathan
},
url = {https://homepages.tuni.fi/jaakko.peltonen/online-papers/lu2020artsit.pdf},
doi = {10.1007/978-3-030-73426-8_9},
isbn = {9783030734251},
year = {2020},
date = {2020-12-10},
booktitle = {Interactivity and Game Creation: 9th EAI International Conference, ArtsIT 2020, Aalborg, Denmark, December 10–11, 2020, Proceedings},
pages = {160-179},
publisher = {Springer},
keywords = {Bibliometric analysis, Location-based game, Text mining, Topic modeling},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Lu, Chien
But Do Commit Messages Matter? An Empirical Association Analysis with Technical Debt Proceedings Article
In: Saarimäki, Nyyti; Lenarduzzi, Valentina; Taibi, Davide (Ed.): CEUR Workshop Proceedings, pp. 45-53, CEUR-WS, 2019, ISSN: 1613-0073.
Abstract | Links | Tags: Commit messages, Technical debt, Text mining
@inproceedings{Lu2019,
title = {But Do Commit Messages Matter? An Empirical Association Analysis with Technical Debt},
author = {Chien Lu},
editor = {Nyyti Saarimäki and Valentina Lenarduzzi and Davide Taibi},
url = {https://urn.fi/URN:NBN:fi:tuni-202002132060},
issn = {1613-0073},
year = {2019},
date = {2019-12-17},
booktitle = {CEUR Workshop Proceedings},
volume = {2520},
pages = {45-53},
publisher = {CEUR-WS},
abstract = {An empirical analysis is conducted to investigate the association of the content of commit messages and technical debt. The analysis is based on 33 open-source Apache JAVA projects. Structural Topic Modelling, a recently developed text mining technique is employed for sophisticated analysis. The result shows that the certain content of commit messages such as empty messages are potentially associated with Technical Debt.},
keywords = {Commit messages, Technical debt, Text mining},
pubstate = {published},
tppubtype = {inproceedings}
}
An empirical analysis is conducted to investigate the association of the content of commit messages and technical debt. The analysis is based on 33 open-source Apache JAVA projects. Structural Topic Modelling, a recently developed text mining technique is employed for sophisticated analysis. The result shows that the certain content of commit messages such as empty messages are potentially associated with Technical Debt.
Lehtonen, Miikka; Lu, Chien; Nummenmaa, Timo; Peltonen, Jaakko
Adoption of Requirements Engineering Methods in Game Development: A Literature and Postmortem Analysis Proceedings Article
In: Brooks, Anthony L.; Brooks, Eva; Sylla, Cristina (Ed.): Interactivity, Game Creation, Design, Learning, and Innovation : 8th EAI International Conference, ArtsIT 2019, and 4th EAI International Conference, DLI 2019, pp. 436-457, Springer, 2019, ISBN: 1867-8211.
Abstract | Links | Tags: Game development, Literature analysis, Postmortem analysis, Requirements engineering, Text mining
@inproceedings{Lehtonen2019,
title = {Adoption of Requirements Engineering Methods in Game Development: A Literature and Postmortem Analysis},
author = {Miikka Lehtonen and Chien Lu and Timo Nummenmaa and Jaakko Peltonen},
editor = {Anthony L. Brooks and Eva Brooks and Cristina Sylla},
url = {https://urn.fi/URN:NBN:fi:tuni-202008246597},
doi = {10.1007/978-3-030-53294-9_32},
isbn = {1867-8211},
year = {2019},
date = {2019-11-06},
booktitle = {Interactivity, Game Creation, Design, Learning, and Innovation : 8th EAI International Conference, ArtsIT 2019, and 4th EAI International Conference, DLI 2019},
pages = {436-457},
publisher = {Springer},
abstract = {As the game industry continues to grow in size and revenue, the cost of creating games increases as well, and the successful outcome of game development projects becomes ever more important. In traditional software engineering, it is generally agreed that a successful requirements engineering process has a significant impact on the project. In game development, requirements engineering methods do not seem to be commonly used. As the development of digital games includes specialized aspects of software development, it seems likely that game developers could benefit from adopting these techniques and processes. In this paper, a thorough reading of central and current academic research on the topic is performed to form a holistic picture of the central issues and problems preventing the adoption and widespread use of requirements engineering processes and methods in game development. Additionally, algorithmic analysis of 340 post-mortems written by game developers and published on industry websites is conducted. These post-mortems discuss the factors which contributed to or hindered the successful outcome of these game development projects, and the analysis further supports the identified central issues.},
keywords = {Game development, Literature analysis, Postmortem analysis, Requirements engineering, Text mining},
pubstate = {published},
tppubtype = {inproceedings}
}
As the game industry continues to grow in size and revenue, the cost of creating games increases as well, and the successful outcome of game development projects becomes ever more important. In traditional software engineering, it is generally agreed that a successful requirements engineering process has a significant impact on the project. In game development, requirements engineering methods do not seem to be commonly used. As the development of digital games includes specialized aspects of software development, it seems likely that game developers could benefit from adopting these techniques and processes. In this paper, a thorough reading of central and current academic research on the topic is performed to form a holistic picture of the central issues and problems preventing the adoption and widespread use of requirements engineering processes and methods in game development. Additionally, algorithmic analysis of 340 post-mortems written by game developers and published on industry websites is conducted. These post-mortems discuss the factors which contributed to or hindered the successful outcome of these game development projects, and the analysis further supports the identified central issues.
Lu, Chien; Peltonen, Jaakko; Nummenmaa, Timo
Game Postmortems Vs. Developer Reddit AMAs: Computational Analysis of Developer Communication Proceedings Article
In: FDG '19: Proceedings of the 14th International Conference on the Foundations of Digital Games, pp. 1-7, ACM, 2019, ISBN: 2153-1633.
Abstract | Links | Tags: Game development, Literature analysis, Postmortem analysis, Reddit, Text mining
@inproceedings{Lu2019b,
title = {Game Postmortems Vs. Developer Reddit AMAs: Computational Analysis of Developer Communication},
author = {Chien Lu and Jaakko Peltonen and Timo Nummenmaa},
url = {https://urn.fi/URN:NBN:fi:tuni-202101291788},
doi = {10.1145/3337722.3337727},
isbn = {2153-1633},
year = {2019},
date = {2019-08-26},
booktitle = {FDG '19: Proceedings of the 14th International Conference on the Foundations of Digital Games},
pages = {1-7},
publisher = {ACM},
abstract = {Postmortems and Reddit Ask Me Anything (AMA) threads represent communications of game developers through two different channels about their game development experiences, culture, processes, and practices. We carry out a quantitative text mining based comprehensive analysis of online available postmortems and AMA threads from game developers over multiple years. We find and analyze underlying topics from the postmortems and AMAs as well as their variation among the data sources and over time. The analysis is done based on structural topic modeling, a probabilistic modeling technique for text mining. The extracted topics reveal differing and common interests as well as their evolution of prevalence over time in the two text sources. We have found that postmortems put more emphasis on detail-oriented development aspects as well as technically-oriented game design problems whereas AMAs feature a wider variety of discussion topics that are related to a more general game development process, game-play and game-play experience related game design. The prevalences of the topics also evolve differently over time in postmortems versus AMAs.},
keywords = {Game development, Literature analysis, Postmortem analysis, Reddit, Text mining},
pubstate = {published},
tppubtype = {inproceedings}
}
Postmortems and Reddit Ask Me Anything (AMA) threads represent communications of game developers through two different channels about their game development experiences, culture, processes, and practices. We carry out a quantitative text mining based comprehensive analysis of online available postmortems and AMA threads from game developers over multiple years. We find and analyze underlying topics from the postmortems and AMAs as well as their variation among the data sources and over time. The analysis is done based on structural topic modeling, a probabilistic modeling technique for text mining. The extracted topics reveal differing and common interests as well as their evolution of prevalence over time in the two text sources. We have found that postmortems put more emphasis on detail-oriented development aspects as well as technically-oriented game design problems whereas AMAs feature a wider variety of discussion topics that are related to a more general game development process, game-play and game-play experience related game design. The prevalences of the topics also evolve differently over time in postmortems versus AMAs.