Blar i Fakultet for teknologi, kunst og design (TKD) på forfatter "Yamashita, Aiko"
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Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification
Arcelli Fontana, Francesca; Dietrich, Jens; Walter, Bartosz; Yamashita, Aiko; Zanoni, Marco (Chapter; Peer reviewed; Chapter, 2016)Anti-patterns and code smells are archetypes used for describing software design shortcomings that can negatively affect software quality, in particular maintainability. Tools, metrics and methodologies ... -
Dissecting social media and TikTok for children and young adults
Pathak, Ananta (ACIT;2021, Master thesis, 2021)The purpose of this thesis is to find out the effect of such AI algorithms used in social media like TikTok on the mental health/wellbeing of Norwegian children and young adults. To answer our research questions, we used ... -
Do Code Smells Impact the Effort of Different Maintenance Programming Activities?
Soh, Zepyr; Yamashita, Aiko; Khomh, Foutse (Chapter; Peer reviewed; Chapter, 2016)Empirical studies have shown so far that code smells have relatively low impact over maintenance effort at file level. We surmise that previous studies have found low effects of code smells because the effort considered ... -
Modernization from a Maintenance Process Perspective: Challenges and Lessons Learned
Yamashita, Aiko (Journal article; Peer reviewed, 2017)Modernization and migration initiatives are not limited to projects where complex legacy systems need to be phased-out. They include wider contexts, from the replacement of obsolete middle ...