UCSY's Research Repository

Browsing by Author "Oo, Khine Khine"

Browsing by Author "Oo, Khine Khine"

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  • Analysis of Security Assessment in Software Refactoring 
    Maw, Myint Myint; Oo, Khine Khine (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Refactoring is the process of restructuring existing computer code – changing the factoring – without changing its external behavior. It is a common approach to producing better quality software. However, its impact ...
  • Android Malware Detection Framework Based on Static Analysis 
    Soe, Yan Naung; Oo, Khine Khine (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Mobile devices have gained tremendous popularity over the last few years. The most popular usage is the smart phones. They are accepted and admired by many mainly because they are capable of providing services such as ...
  • An Approach for Automate Requirements Elicitation Using Use Case Models 
    Han, Wai Wai; Oo, Khine Khine (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Requirements elicitation is vital importance in system development process. While doing software system development, the stakeholders can’t states real and nearly complete requirements because they might not know what ...
  • Communication Channels impact in Agile 
    Oo, Khine Khine; Moe, Myint Myint (ICCA, 2021-02-25)
    Today software development society, we cannot omit the agile software development methodology as we are now living in the changing world, means technology change, economy change, market change, etc. Among them, the new ...
  • Comparison of Classification Methods on Software Defect Data Sets 
    San, Hnin Yi; Oo, Khine Khine (National Journal of Parallel and Soft Computing, 2019-03)
    Nowadays it is difficult for us to imagine a life without devices that is controlled by software. Software quality prediction is the important process of software development processes. It is a process of utilizing software ...
  • A Comparison of Naïve Bayes and Random Forest for Software Defect Prediction 
    Soe, Yan Naung; Oo, Khine Khine (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The software defect can cause the unnecessary effects on the software such as cost and quality. The prediction of the software defect can be useful for the developing of good quality software. For the prediction, the PROMISE ...
  • Consequences of Dependent and Independent Variables based on Acceptance Test Suite Metric Using Test Driven Development Approach 
    Moe, Myint Myint; Oo, Khine Khine (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    The fundamental of software development was Test-Driven Development but the individual tests must be carried out previously the production code. To research, the consequence of test-driven development on product code ...
  • Deep Learning for Predictive Process Behavior 
    Hnin, Thuzar; Oo, Khine Khine (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Today’s many modern organizations, to get competitive advantages, have been already implemented business process management (BPM). However, as part of a larger business process management initiative, especially predictive ...
  • Deep Neural Network Based Model for Phishing-Sites Detection 
    Zaw, San Kyaw; Oo, Khine Khine (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    The evolution of web has positively transformed the paradigm of communication, trading, and collaboration for the benefit of humanity. However, these benefits of the Web are shadowed by cyber-criminals who use the Web ...
  • Discovering Generalized Association Rule in Web Usage Mining by FP Tree 
    Thu, Han Ni Ni Myint; Oo, Khine Khine (National Journal of Parallel and Soft Computing, 2019-03)
    Web mining techniques can use to search for web access patterns, web structures, regularity and dynamics of web contents. Web usage mining analyzes Web log files to discover user accessing patterns of Web pages. Log ...
  • Emotional State Classification in Machine Learning for EEG Signals 
    Oo, Zin War; Oo, Khine Khine (ICCA, 2021-02-25)
    Emotional health is very important to build our life. Emotional health is equally as important as our physical health. Dealing with our emotions is a difficult task because we can’t see them. To analysis emotional state ...
  • Impact of Dependent and Independent Variables based on Ordinary Least Squares Method Using Test-Driven Development Approach 
    Moe, Myint Myint; Oo, Khine Khine (Proceedings of the Tenth International Conference on Science and Engineering (ICSE 2019), 2019-12-07)
    Test-driven development (TDD) is a foundation for software evolution but unit tests must be performed before production code. To enhance both external code quality and programmers’ productivity can be insisted on the ...
  • Implementation of Decision Support System for choosing Pre-wedding Photo Service 
    Lwin, Chaw Yupar; Oo, Khine Khine (National Journal of Parallel and Soft Computing, 2019-03)
    Decision making is the selection of a course of action from a number of possible alternatives on the various forms of evidences. Multi-criteria decision making (MCDM) is a discipline to support the decision makers who ...
  • Implementing the Update Propagation Strategies on Replicated Database 
    Mon, Su Su; Oo, Khine Khine (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A distributed database is a database with its data elements stored at several sites of a computer network. Certain data items may be redundantly stored at more than one site for reliability reasons. A replicated database ...
  • Investigation Features of Identifier Renamings 
    Maw, Myint Myint; Oo, Khine Khine (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    A change made to the internal structure of software to make it easier to understand and cheaper to modify without changing its observable behavior… It is a disciplined way to clean up code that minimizes the chances ...
  • Prediction Online Auction Price Using Functional Data Analysis 
    Lin, May Phyo Wai; Oo, Khine Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The goal of the proposed system is to derive models for forecasting the final price of ongoing auction. The forecasting task is important not only to the participants of an auction who compete against each other for the ...
  • Recovering Nodes Failure in Replica System by Using Data Replacement Algorithm in a HDFS Cluster 
    Zaw, Myint; Oo, Khine Khine (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    HDFS (Hadoop Distributed File System) is designed to store big data reliably, and it has been distributed file. However, it is not replacement for failure nodes. Replication technology is a key component in every computing ...
  • Rule-based Consciousness Expert System by Abhidhamma model with Forward Chaining Technique 
    Htay, Hsu Myat; Oo, Khine Khine (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The Abhidhamma is one of the three parts of the Pali cannon, the Tipitaka, the main texts of Theravada Buddhism and is sometimes described as ‘Buddhist Psychology’ [2]. Human mind is consciousness (citta) and mental ...
  • Trust Based Recommender System in E - Commerce using Sentiment and Entropy Method 
    Sint, Hla Sann; Oo, Khine Khine (ICCA, 2021-02-25)
    The developing for e - commerce, understanding the techniques for trust is basic. Moreover, trust issues are important to a few taking care of corporate obligation; web-based business, and the social communication. The ...
  • Trust Prediction Framework for Social Networking 
    Sint, Hla Sann; Oo, Khine Khine (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In today's hyper-connected society, understanding the mechanisms of trust is crucial. Trust issues are critical to solving problems. Trust phenomenon has been extensively explored by a variety of disciplines across the ...

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