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- ArticleApril 2024
Understandability: The Hidden Barrier and the Last Yard to Information Accessibility
AbstractStudents with print disabilities frequently encounter the challenge of understanding alternative texts for complex, scholarly non-text contents. While a local solution exists, it is intellectually stimulating to explore this phenomenon more ...
- research-articleFebruary 2024
Investigating the readability of test code
Empirical Software Engineering (KLU-EMSE), Volume 29, Issue 2Mar 2024https://doi.org/10.1007/s10664-023-10390-zAbstractContextThe readability of source code is key for understanding and maintaining software systems and tests. Although several studies investigate the readability of source code, there is limited research specifically on the readability of test code ...
- short-paperMay 2024
Investigating the dependability of Weather Forecast Application: A Netnographic study
OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction ConferenceDecember 2023, Pages 462–471https://doi.org/10.1145/3638380.3638403Weather forecast applications (WFAs) inform smartphone users about what is expected next as the weather changes. However, users’ dependence on the weather forecast application for decision making is unknown. Studies exist that investigated the features, ...
- research-articleNovember 2023
On the Investigation of Empirical Contradictions - Aggregated Results of Local Studies on Readability and Comprehensibility of Source Code
Empirical Software Engineering (KLU-EMSE), Volume 28, Issue 6Nov 2023https://doi.org/10.1007/s10664-023-10360-5AbstractContextReading and understanding the source code are fundamental to supporting software programmers’ daily activities. Still, there is no agreement regarding the program attributes needed to achieve the readability and comprehensibility of source ...
- Work in ProgressJanuary 2024
A Guide to Plain Language Data Visualizations: Guidelines for More Understandable Chart Design
CLIHC '23: Proceedings of the XI Latin American Conference on Human Computer InteractionOctober 2023, Article No.: 24, Pages 1–4https://doi.org/10.1145/3630970.3630990The research proposes a Plain Language Guide for graphic design, aiming to make information more understandable for end users during their interactions in open government data systems, dashboards and reports. The Guide was developed based on practices ...
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- ArticleSeptember 2023
Readability Measures as Predictors of Understandability and Engagement in Searching to Learn
Linking Theory and Practice of Digital LibrariesSep 2023, Pages 173–181https://doi.org/10.1007/978-3-031-43849-3_15AbstractSearch engines have become essential tools for learning, providing access to vast amounts of educational resources. However, selecting the most suitable resources from numerous options can be challenging for learners. While search engines ...
- research-articleSeptember 2023
Do RESTful API design rules have an impact on the understandability of Web APIs?
Empirical Software Engineering (KLU-EMSE), Volume 28, Issue 6Nov 2023https://doi.org/10.1007/s10664-023-10367-yAbstractContextWeb APIs are one of the most used ways to expose application functionality on the Web, and their understandability is important for efficiently using the provided resources. While many API design rules exist, empirical evidence for the ...
- research-articleSeptember 2023
Bridging the gap between website accessibility and lexicography: information access in online dictionaries
Universal Access in the Information Society (UAIS), Volume 23, Issue 2Jun 2024, Pages 545–560https://doi.org/10.1007/s10209-023-01031-9AbstractInformation access has been one of the main concerns of lexicography since the first dictionaries were compiled. This paper draws an explicit link between the proposals made from the fields of applied linguistics and website accessibility to ...
- research-articleJune 2023
Enhancing students’ online collaborative PBL learning performance in the context of coauthoring-based technologies: A case of wiki technologies
Education and Information Technologies (KLU-EAIT), Volume 29, Issue 2Feb 2024, Pages 2303–2328https://doi.org/10.1007/s10639-023-11907-1AbstractUnderstandability and completeness are essential in modern collaborative digital platforms and their learning systems. These platforms have shaken up the traditional education setting, particularly in leveraging the coauthoring approach in problem-...
- ArticleOctober 2022
An Experimental Study of Intuitive Representations of Process Task Annotations
AbstractBusiness process modeling languages support enterprises in visualizing workflows in a graphical representation. Many studies provide recommendations about which modeling language to choose and how to represent models in terms of usability. However,...
- ArticleJune 2022
- ArticleMay 2021
A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable
Explainable and Transparent AI and Multi-Agent SystemsMay 2021, Pages 119–138https://doi.org/10.1007/978-3-030-82017-6_8AbstractBecause of recent and rapid developments in Artificial Intelligence (AI), humans and AI-systems increasingly work together in human-agent teams. However, in order to effectively leverage the capabilities of both, AI-systems need to be ...
- research-articleOctober 2020
A Fuzzy Approach for Estimating Quality of Aspect Oriented Systems
International Journal of Parallel Programming (IJPP), Volume 48, Issue 5Oct 2020, Pages 850–869https://doi.org/10.1007/s10766-018-0618-2AbstractModern civilization cannot survive without software. Because software is the building block of new generation, the quality of software plays an important role in building new technologies and hence, low quality software is not acceptable. Any ...
- ArticleMay 2020
Agent-Based Explanations in AI: Towards an Abstract Framework
Explainable, Transparent Autonomous Agents and Multi-Agent SystemsMay 2020, Pages 3–20https://doi.org/10.1007/978-3-030-51924-7_1AbstractRecently, the eXplainable AI (XAI) research community has focused on developing methods making Machine Learning (ML) predictors more interpretable and explainable. Unfortunately, researchers are struggling to converge towards an unambiguous ...
- research-articleDecember 2019
Modeling compliance specifications in linear temporal logic, event processing language and property specification patterns: a controlled experiment on understandability
Software and Systems Modeling (SoSyM) (SPSSM), Volume 18, Issue 6Dec 2019, Pages 3331–3371https://doi.org/10.1007/s10270-019-00721-4AbstractMature verification and monitoring approaches, such as complex event processing and model checking, can be applied for checking compliance specifications at design time and runtime. Little is known about the understandability of the different ...
- ArticleOctober 2019
Defining a Master Data Management Approach for Increasing Open Data Understandability
On the Move to Meaningful Internet Systems: OTM 2019 WorkshopsOct 2019, Pages 169–178https://doi.org/10.1007/978-3-030-40907-4_17AbstractReusing open data is an opportunity for eSociety to create value through the development of novel data-intensive IT services and products. However, reusing open data is hampered by lack of data understandability. Actually, accessing open data ...
- ArticleJuly 2019
Computing with Words — A Framework for Human-Computer Interaction
AbstractIn this paper we explore the possibility of using computation with words (CWW) systems and CWW-based human-computer interface (HCI) and interaction to enable efficient computation and HCI. The application selected to demonstrate the problems and ...
- articleDecember 2018
Supporting the analyzability of architectural component models - empirical findings and tool support
Empirical Software Engineering (KLU-EMSE), Volume 23, Issue 6December 2018, Pages 3578–3625https://doi.org/10.1007/s10664-017-9583-4This article discusses the understandability of component models that are frequently used as central views in architectural descriptions of software systems. We empirically examine how different component level metrics and the participants' experience ...
- research-articleOctober 2018
Artifact-based vs. human-perceived understandability and modifiability of refactored business processes: An experiment
Journal of Systems and Software (JSSO), Volume 144, Issue COct 2018, Pages 143–164https://doi.org/10.1016/j.jss.2018.06.026Highlights- Refactoring improves the degree of quality of business process models.
- Impact ...
Business processes modeling has proven to be effective and reverse engineering techniques with which to recover business process models when they are missing or outmoded have therefore emerged. Regrettably, these techniques often lead ...