Nalinpat Porrawatpreyakorn

Requirements for a Knowledge Transfer Framework in the Field of Software Development Process Management for Executive Information Systems in the Telecommunications Industry

This paper presents the interview findings of the current situation in software development process management for Executive Information Systems (EIS) in the Thai telecommunications industry and identifies requisite requirements for a successful Knowledge Transfer (KT) framework that consists of two proposed components, which are frameworks themselves: the proposed Software Development Life Cycle (SDLC) maintenance framework and the proposed KT framework. The resulting frameworks are aimed at providing an improved way of software development process management to better achieve the high performance goals of successful software development.

A Knowledge Transfer Framework for Supporting the Transition to Agile Development of Web Application in the Thai Telecommunications Industry

Agile software development methods are often applied in volatile software development environments typically perceived as being difficult to tackle by traditional methods. Yet, only a minority of organizations is able to transfer to agile development effectively. This paper proposes a knowledge transfer framework supporting the transition to agile development with guidance on how to put knowledge transfer into action. In this framework, a knowledge transfer process consists of six components (i.e., problems, antecedents, knowledge, mechanisms, knowledge application, and outcomes) and flows through four distinct stages (i.e., Initiation, Implementation, Ramp-up, and Integration). In each stage, components interact with each other multi-directionally and play an important role depending on the stages functionality. A set of knowledge transfer activities in each stage is also specified which aligns with agile ways, especially Scrum. The description of the application of the developed framework and lessons learned conclude the paper.

A Prototype for the Support of Integrated Software Process Development and Improvement

An efficient software development process is one of key success factors for quality software. Not only can the appropriate establishment but also the continuous improvement of integrated project management and of the software development process result in efficiency. This paper hence proposes a software process maintenance framework which consists of two core components: an integrated PMBOK-Scrum model describing how to establish a comprehensive set of project management and software engineering processes and a software development maturity model advocating software process improvement. Besides, a prototype tool to support the framework is introduced.

Transformation Polynomial Secret Sharing

This research objective is to introduce how the secret sharing algorithm was used to increase the security of your data before distributing to the database. The first arbitrated polynomial function was transformed to be another one in order to enhance more security. Plaintext was reconstructed by reversing two stages interpolation. This algorithm improves more security than ordinary share secret sharing algorithm.

A knowledge transfer framework for secure coding practices

Building a secure software product is required understandings of security principles and guidelines for the secure coding in terms of programming languages to develop safe, reliable, and secure systems in software development process. Therefore, knowledge transferring is required and influenced to the most effective secure software development project. This paper proposes a knowledge transfer framework for secure coding practices with guidance for the development of secure software product and how the framework could be applied in the telecommunication industry. A set of knowledge transfer activities is specified which aligns for secure coding. Finally, the implementation of a knowledge transfer framework for secure coding practices could mitigate at least the most common mistakes in software development processes.

An Ontology-Based Query Expansion for an Agricultural Expert Retrieval System

Query expansion is a technique of information retrieval system which considered to the context of the users queries in order to improve the retrieval effectiveness. There are several method expansion methods have been investigated. An ontology-based approach is one of the expansion approaches which used as knowledge-based for searching. This paper proposed an ontology-based query expansion using a concept of the combination of an IR technique and association rule mining to examine and evaluate of an agricultural expert retrieval systems. An association rule mining is applied in the inference engine in order to optimize the users queries. A set of inference rules are also created to support the expertise retrieval task. The result set is depends on the new query which expands from users queries as keywords using an agricultural ontology structures. The experts who have expertise in topics or keywords, type of plants and problem solving are the elements of the ontology and will be used to search the relevant publications. The experiments were conducted using publications from collections of the Thai National AGRIS center. The results show that the improvement of this expansion method yields better performance than using basic query expansion search with the F-measure equal to 98.87%.

Factors Influencing Hybrid Self-Regulated and Collaborative Learning for End-User Training: A Systematic Literature Review

End-User Training (EUT) is a method used for learning information systems or applications and improving those skills to become more effective. In order for organizations to provide effective EUT programs, several concerns in the design of EUT need to be considered. The objective of this study is to undertake a systematic literature review to determine the effectiveness of End-User Training, factors, and measurement of the effectiveness of EUT. The review analyzes 50 studies identified for primary studies from academic digital libraries published between 2003 and 2013. The results of this study showed that factors influencing EUT can be categorized into seven categories, which are organizational, individual difference, training methods, learning techniques, learning process and interaction, immediate learning outcomes, and long-term learning outcomes. Therefore, the future research should consider these factors that may impact the EUT before designing and developing effective EUT programs.

Identifying Factors Influencing Hybrid Self-regulated and Collaborative Learning: Toward an End-User Training Framework

The objective of this study is to undertake a systematic literature review to determine factors associated with End-User Training (EUT). The review analyzes 52 studies identified for primary studies from academic digital libraries published between 2003 and 2013. The results reveal 77 factors influciencing EUT that can be categorized into seven categories, which are organizational, individual difference, training methods, learning techniques, learning process and interaction, immediated learning outcomes, and long-term learning outcomes. These factors are used to propose a conceptual framework of hybrid self-regulated and collaborative learning for EUT that aims at improving performance of EUT.