2 research outputs found

    Engineering adaptive user interfaces using monitoring-oriented programming

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    User interfaces which adapt based on usage patterns, for example based on frequency of use of certain features, have been proposed as a means of limiting the complexity of the user interface without specialising it unnecessarily to particular user profiles. However, from a software engineering perspective, adaptive user interfaces pose a challenge in code structuring, and separation of the different layers of user interface and application state and logic can introduce interdependencies which make software development and maintenance more challenging. In this paper we explore the use of monitoring-oriented programming to add adaptive features to user interfaces, an approach which has been touted as a means of separating certain layers of logic from the main system. We evaluate the approach both using standard software engineering measures and also through a user acceptance experiment - by having a number of developers use the proposed approach to add adaptation logic to an existing application.peer-reviewe

    On the Analysis of Co-Occurrence of Anti-Patterns and Clones

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    In software engineering, a smell is a part of a software system's source code with a poor quality and that may indicate a deeper problem. Although many kinds of smells have been studied to analyze their causes, their behavior, and their impact on software quality, those smells typically are studied independently from each other. However, if two smells coincide inside a class, this could increases their negative effect (e.g., spaghetti code that is being cloned across the system). In this paper we report results from an empirical study conducted to examine the relationship between two specific kinds of smells: code clones and antipatterns. We conducted our study on three open-source software systems: Azureus, Eclipse, and JHotDraw. Results show that between 32% and 63% of classes in the analysed systems present co-occurrence of smells, and that such classes are more risky in term of fault-proneness
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