Integration of design smells and role-stereotypes classification dataset

Author(s) : Ogenrwot,D|Nakatumba-Nabende,J|RV Chaudron,M|,

Type : journal

Publisher : ELSEVIER | Link

Abstract
Design smells are recurring patterns of poorly designed (fragments of) software systems that may hinder maintainability. Role-stereotypes indicate generic responsibilities that classes play in system design. Although the concepts of role-stereotypes and design smells are widely divergent, both are significant contributors to the design and maintenance of software systems.
Year of Publication: 2022

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Modeling

Author(s) : Benedict Oyo, Daniel Ogenrwot, John Byabazire

Type : journal

Publisher : ELSEVIER | Link

Abstract
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Year of Publication: 2021

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Comparison of Occurrence of Design Smells in Desktop and Mobile Applications

Author(s) : Ogenrwot,D|Nakatumba-Nabende,J|R.V. Caudron,M

Type : conf

Publisher : CEUR Workshop Proceedings | Link

Abstract
In this study, we explored the use of statistics and unsupervised learning on a dataset consisting of twelve (12) Javabased open-source projects mined from GitHub. We identified fifteen (15) most frequent design smells across desktop and mobile applications. Additionally, a clustering technique revealed which groups of design smells that often co-occur. Specifically,{SpeculativeGenerality, SwissArmyKnife} and {LongParameterList, ClassDataShouldBePrivate} are observed to occur frequently together in desktop and mobile applications.
Year of Publication: 2020

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Embedded System Design

Author(s) : Aguma,B

Type : journal

Publisher : JDJAN | Link not provided

Abstract
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Year of Publication: 2020

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A Rule Induction Attribute Selection Algorithms for Intrusion Detection Systems

Author(s) : Ashaba,AA|Mirembe,DP

Type : journal

Publisher : Indian Journal of Computer Science | Link

Abstract
Communication network infrastructures such as internet and intranet have become more reliable and widely used individually and across organizations. The level of dependence of computer users on such infrastructures has increased and is by far becoming way of life. This dependence is associated with increasing level of threats to security resulting into outcomes such as interference to valid communication channels and loss of valuable information. While there exists traditional security methods such as authentication tools, firewalls and virtual private networks to mitigate such threats and minimize computer system vulnerability to unauthorized access, they have been so vulnerable to exploitations from internal and external threats. This led to the development of Intrusion Detection Systems (IDS) to complement on the existing methods. IDS seek distinctive features between the normal data and intrusive activities based on the behavior of users, networks or computer systems. However, with IDS, the expert’s guess, experience and knowledge are central when choosing the features for detection which often results to false alarms and insufficiency of the detection system.
Year of Publication: 2018

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Sickle Cell

Author(s) : Kevin,A|Daniel,O

Type : book

Publisher : ELSEVIER | Link

Abstract
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Year of Publication: 2017

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Mwalimu

Author(s) : John,JB

Type : journal

Publisher : John | Link

Abstract
None
Year of Publication: 2009

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Idea Box

Author(s) : Aguma,AB

Type : edited

Publisher : Fridah | Link

Abstract
None
Year of Publication: 2009

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Re-Conceptualisation of Higher Education Quality Management Problems using Feedback Systems Thinking

Author(s) : Benedict Oyo, Williams Ddembe

Type : journal

Publisher : Int. Journal of Mgt in Education | Link not provided

Abstract

Year of Publication: 2009

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