| 1. |
- Ambrosius, Robin, et al.
(författare)
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Interviews Aided with Machine Learning
- 2018
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Ingår i: Perspectives in Business Informatics Research. BIR 2018. - Cham : Springer. - 9783319999500 - 9783319999517 ; , s. 202-216
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Konferensbidrag (refereegranskat)abstract
- We have designed and implemented a Computer Aided Personal Interview (CAPI) system that learns from expert interviews and can support less experienced interviewers by for example suggesting questions to ask or skip. We were particularly interested to streamline the due diligence process when estimating the value for software startups. For our design we evaluated some machine learning algorithms and their trade-offs, and in a small case study we evaluates their implementation and performance. We find that while there is room for improvement, the system can learn and recommend questions. The CAPI system can in principle be applied to any domain in which long interview sessions should be shortened without sacrificing the quality of the assessment.
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| 2. |
- Andersson, Jessica, et al.
(författare)
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A Study of Demand-Driven Documentation in Two Open Source Projects
- 2015
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Ingår i: 2015 48th Hawaii International Conference on System Sciences (HICSS). - 9781479973675 ; , s. 5271-5279
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Konferensbidrag (refereegranskat)abstract
- We investigate how demand-driven documentation is used by open source projects. Our study relies on questions and answers (i.e., demand-driven documentation) posted to Stack Overflow and focuses on two projects: Apache POI and Fennec (Firefox for Android). We find that the demand-driven documentation provided by respective community is of good quality and contributions are made within an acceptable amount of time. We conclude that demand-driven documentation can be suitable as a primary information source if other resources accompany it, e.g., websites. However, the suitability is closely related to size and activity of the project's community. We also investigate whether the type of project (e.g., API, application, product, etc.) matters, and find that given the nature of a forum, projects where the intended users are developers have larger and more active communities and are thus better suited for demand-driven documentation.
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| 3. |
- Andersson, Jessica, et al.
(författare)
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Quality of Demand-Driven Documentation
- 2014
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Ingår i: Proceedings of the 37th Information Systems Research Seminar in Scandinavia. - 9788773498767
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Konferensbidrag (refereegranskat)abstract
- In this case study we investigate how demand-driven documentation can be used in open source projects. The study relied on questions and answers (demand-driven documenta- tion) posted on Stack Overflow and studied two open source projects, Apache POI and Firefox for Android, in depth. We found that the demand driven documentation provided by the respec- tive community is in general of good quality and contributed within an acceptable amount of time. We conclude that demand driven documentation can be suitable as a primary information source if other resources accompany it. However, the suitability is closely related to the size and activity of the project’s community.
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| 4. |
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| 5. |
- Ericsson, Morgan, et al.
(författare)
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A Software Infrastructure For Information Quality Assessment
- 2011
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Ingår i: Proceedings of the International Conference on Information Quality.
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Konferensbidrag (refereegranskat)abstract
- Information quality assessment of technical documentation is nowadays an integral part of quality management of products and services. These are usually assessed using questionnaires, checklists, and reviews and consequently work that is cumbersome, costly and prone to errors. Acknowledging the fact that only humans can assess certain quality aspects, we suggest complementing these with automatic quality assessment using a software infrastructure that (i) reads information from documentations, (ii) performs analyses on this information, and (iii) visualizes the results to help stakeholders understand quality issues. We introduce the software infrastructure’s architecture and implementation, its adaptation to different formats of documentations and types of analyses, along with a number of real world cases exemplifying feasibility and benefit of our approach. Altogether, our approach contributes to more efficient and automatic information quality assessments.
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| 6. |
- Ericsson, Morgan, et al.
(författare)
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A Study of the Effect of Data Normalization on Software and Information Quality Assessment
- 2013
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Ingår i: Software Engineering Conference (APSEC, 2013 20th Asia-Pacific). - : IEEE Press. - 9781479921430 ; , s. 55-60
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Konferensbidrag (refereegranskat)abstract
- Indirect metrics in quality models define weighted integrations of direct metrics to provide higher-level quality indicators. This paper presents a case study that investigates to what degree quality models depend on statistical assumptions about the distribution of direct metrics values when these are integrated and aggregated. We vary the normalization used by the quality assessment efforts of three companies, while keeping quality models, metrics, metrics implementation and, hence, metrics values constant. We find that normalization has a considerable impact on the ranking of an artifact (such as a class). We also investigate how normalization affects the quality trend and find that normalizations have a considerable effect on quality trends. Based on these findings, we find it questionable to continue to aggregate different metrics in a quality model as we do today.
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| 7. |
- Ericsson, Morgan, 1973, et al.
(författare)
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Mining Job Ads to find what skills are sought after from an employers' perspective on IT graduates
- 2014
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Ingår i: ITICSE 2014 - Proceedings of the 2014 Innovation and Technology in Computer Science Education Conference. - New York, New York, USA : Association for Computing Machinery (ACM). - 9781450328333
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Konferensbidrag (refereegranskat)abstract
- We mine job ads to discover what skills are required from an employers' perspective. Some obvious trends appear, such as skills related to web and mobile technology. We aim to uncover more detailed information as the study continues to allow course content to better match the expressed needs. Categories and Subject Descriptors K.3.2 [Computers and Education]: Computer and Information Science Education General Terms Data mining.
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| 8. |
- Ericsson, Morgan, et al.
(författare)
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Probabilistic Quality Models to Improve Communication and Actionability
- 2015
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Ingår i: 2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW). - IEEE : IEEE Press. - 9781467397759 ; , s. 1-4
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Konferensbidrag (refereegranskat)abstract
- We need to aggregate metric values to make quality assessment actionable. However, due to properties of metric values, i.e., unknown distributions and different measurement scales, they are difficult to aggregate. We present and evaluate a method to aggregate metric values based on observed numerical distributions that are converted into cumulative density functions. We use these to determine the probability of each metric and file, and aggregate these. Our limited study suggests that the method improves correctness, communication, and the ability to take action. However, more evaluation is required.
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| 9. |
- Ericsson, Morgan, Docent, 1973-, et al.
(författare)
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TDMentions : A Dataset of Technical Debt Mentions in Online Posts
- 2019
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Ingår i: 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON TECHNICAL DEBT (TECHDEBT 2019). - : IEEE. - 9781728133713 ; , s. 123-124
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Konferensbidrag (refereegranskat)abstract
- The term technical debt is easy to understand as a metaphor, but can quickly grow complex in practice. We contribute with a dataset, TDMentions, that enables researchers to study how developers and end users use the term technical debt in online posts and discussions. The dataset consists of posts from news aggregators and Q&A-sites, blog posts, and issues and commits on GitHub.
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| 10. |
- Ericsson, Morgan, et al.
(författare)
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The Design and Implementation of a Software Infrastructure for IQ Assessment
- 2012
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Ingår i: International Journal of Information Quality. - 1751-0457. ; 3:1, s. 49-70
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Tidskriftsartikel (refereegranskat)abstract
- Information quality assessment of technical documentation is an integral part of quality management of products and services. Technical documentation is usually assessed using questionnaires, checklists, and reviews. This is cumbersome, costly and prone to errors. Acknowledging the fact that only people can assess certain quality aspects, we suggest complementing these with software-supported automatic quality assessment. The many different encodings and representations of documentation, e.g., various XML dialects and XML Schemas/DTDs, is one problem. We present a system, a software infrastructure, where abstraction and meta modelling are used to define reusable analyses and visualisations that are independent of specific encodings and representations. We show how this system is implemented and how it: 1) reads information from documentations; 2) performs analyses on this information; 3) visualises the results to help stakeholders understand quality issues. We introduce the system, the architecture and implementation, its adaptation to different formats of documentations and types of analyses, along with a number of real world cases exemplifying the feasibility and benefits of our approach. Altogether, our approach contributes to more efficient information quality assessments.
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