Wanchai Rivepiboon

Software practices in five ASEAN countries: an exploratory study

There is a lack of published studies on software development in Southeast Asia, which is fast becoming an IT outsourcing haven. This paper presents exploratory survey and case study results on software practices of some software firms in five ASEAN countries (Malaysia, Philippines, Singapore, Thailand and Vietnam), and provides directions for further research on software practices in the ASEAN/Southeast Asian region.

WWM: a practical methodology for Web application modeling

Web applications are becoming more complex and the way to manage the complexity is to model them. This paper presents a methodology to model Web applications directly from the object-oriented fashion on the top of the event-driven programming concept. Our approach, WebForm-based Web application modeling methodology (WWM), provides guidelines to model Web application architectures from higher point-of-view than the Web element perspective. We employ the Unified Modeling Language (UML) and a subset of use case maps (UCM) for our methodology. The case study is developed to present how a Web application can be modeled, built and integrated with the business objects. A set of components is developed in order to use in the case study. Connection of the presentation to business layer shows that it could be done transparently via the components. The various issues are discussed to further extend our work.

An analysis technique to increase testability of object-oriented components

Object‐oriented component engineering is increasingly used for system development, partly because it emphasizes portability and reusability. Each time a component is used, it must be retested in the new environment. Unfortunately, the data abstraction that components usually use results in low testability. First, internal variables cannot be directly set. Second, even though a test input may trigger a fault, the failure does not propagate to the output. This paper presents a technique to increase object‐oriented component testability, thereby making it easier to detect faults. Components are often sealed so that source code is not available. The program analysis is performed at the Java component bytecode level. A components bytecode is analysed to create a control and data flow graph, which is then used to increase component testability by increasing both controllability and observability. We have implemented this technique and applied it to several components. Experimental results reveal that fault detection can be increased by using our increasing testability process. Copyright

Cross-Cultural Risk Assessment Model

Due to the increasing of cooperation with global, cultural differences are specified as work factors in distributed projects. This paper aims at identifying quantitatively the cross cultural risk assessment. The cultural differences; language, communication style, time, and development method are examined as critical risk factors that affect the software development project. The mathematical model has been designed to quantify the effect of cultural differences of team members. Begin with the fundamental formula of the risk assessment, “Risk = Probability of the event ´ Losses associated with that event”, the probability is estimated from the average number of conflicts in software development team, by means of the Poisson’s process; the losses of each factor was estimated in term of their levels. The output from the model can be used in the risk management to increase achievements of the project.

Model of cross-culture risk prediction base on Bayesian belief networks for software project

Software development team with an international members, or cross-culture members, may have problems form risk factors of Language, Style of communication, Attitudes about the time and Development method, which of course most of these risk factors will lead to the software project failure as well as other general factors. This paper presents a model to predict the risk factors mentioned above by using mathematical modeling as Bayesian belief network. It is also important for project managers in risk management software and needed to minimize the damage that may occur with software projects.

Word sense disambiguation of thai language with unsupervised learning

Many approach strategies can be employed to resolve word sense ambiguity with a reasonable degree of accuracy. These strategies are: knowledge-based, corpus-based, and hybrid-based. This paper pays attention to the corpus-based strategy that employs an unsupervised learning method for disambiguation. We report our investigation of Latent Semantic Indexing (LSI), an unsupervised learning, to the task of Thai noun and verbal word sense disambiguation. We report experiments on two Thai polysemous words, namely Unknown XML node MediaObject /hua4/ and Unknown XML node MediaObject /kep1/ that are used as a representative of Thai nouns and verbs respectively. The results of these experiments demonstrate the effectiveness and indicate the potential of applying vector-based distributional information measures to semantic disambiguation. Our approach performs better than a baseline system, which picks the most frequent sense.

Analysis of Thai Sentences with a Serial Verb Using a Semantic Lexicon

Analysis of sentences can be divided into two main parts, syntactic analysis and semantic analysis. Semantic analysis is an important problem in natural language understanding. The result of semantic analysis is the representation of meanings or actions in response to meanings. This paper describes a method for semantic analysis of Thai sentences with serial verbs. We are creating a new lexicon with semantic features designed to support semantic analysis. The focus of this research is on understanding sentences with serial verbs and finding some meaning representation of those sentences. Analysis of the ORCHID corpus, a corpus of academic literature in Thai, is the basis of much of our work on semantics

Formal specification scheme for database applications using requirements particle networks

This paper proposes a systematic scheme for synthesizing formal specification from the definitions of relational data model – entity relationship diagram and their data dictionaries. The formal specification of both structural and behavioral properties of relational data model is generated in Z schemas. In our approach, the mandatory structural constraints – the uniqueness of primary key, foreign keys, and referential integrity constraints among the relations in the model, are preserved. We propose a set of transformation rules to produce Z schemas of the states and primitive operations – cascade insertion, deletion, and updating. Moreover, a composition technique of constructing the composite operations is presented by using requirements particle networks. The revision of the formal specification can be easily conducted with the mathematical proofs of the properties of the data model using Z prover tool.