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Exploring the Prevalence of Anti-patterns in the Application of Scrum in Software Development Organizations

Wróbel Michał, Przała Dorota, Weichbroth Paweł

Annals of Computer Science and Information Systems

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2023

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Vol. 35

813--822

EN

The paper presents a survey-based study that aimed to determine the prevalence of anti-patterns in the Scrum software development methodology. A total of 35 anti-patterns were selected from the literature review, and 42 respondents indicated whether they had encountered each anti-pattern in their organizations. The study found that``Unfinished Tasks'' was the most prevalent anti-pattern, highlighting the importance of proper planning and task management within sprints. Additionally, several other common anti-patterns were identified, including daily scrums being extended beyond the recommended time, user stories not being fully refined, and the sprint goal not being defined at the sprint planning meeting. The findings of this study provide valuable insights into the current state of Scrum methodology in software development organizations and highlight areas where there is room for improvement.

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Handwrittenword recognition using fuzzy matching degrees

Wróbel Michał, Starczewski Janusz T., Fijałkowska Justyna, Siwocha Agnieszka, Napoli Christian

Journal of Artificial Intelligence and Soft Computing Research

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2021

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Vol. 11, No. 3

229--242

EN

Handwritten text recognition systems interpret the scanned script images as text composed of letters. In this paper, efficient offline methods using fuzzy degrees, as well as interval fuzzy degrees of type-2, are proposed to recognize letters beforehand decomposed into strokes. For such strokes, the first stage methods are used to create a set of hypotheses as to whether a group of strokes matches letter or digit patterns. Subsequently, the second-stage methods are employed to select the most promising set of hypotheses with the use of fuzzy degrees. In a primary version of the second-stage system, standard fuzzy memberships are used to measure compatibility between strokes and character patterns. As an extension of the system thus created, interval type-2 fuzzy degrees are employed to perform a selection of hypotheses that fit multiple handwriting typefaces.

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Searching the beginning of the climb to get the most reliable difficulty index

Wróbel Michał

Journal of Applied Mathematics and Computational Mechanics

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2019

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Vol. 18, nr 1

97--103

EN

The climb is the steep fragment of the road. In road cycling, climbs should be categorized by the effort necessary to overcome it. Two values have the greatest influence on a difficulty of the climb: its average slope (rise/run ratio) and length. A simple approach to describing a climb's difficulty is multiplication slope squared and run. In this paper, the beginning of the climb is mathematically established to get the most reliable difficulty index. Moreover, it is presented a special case where the value of difficulty index does not depend on the location of the beginning point.