Browsing by Author "Jittima Wongwuttiwat"
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    Deletion and Selection Model for Test Case Selection
    ( 2016) Adtha Lawanna ; Jittima Wongwuttiwat ; Benjawan Srisura
    Deletion and selection model is planned for improving the ability of selecting the relevant test cases of the modified programs by comparing the outcomes with the well-known traditional methods, which are random, dataflow, slicing, model based, code based, and coverage based analysis. This is because after adapting the programs for several times, numbers of test case will increase that can drop the whole performance of the new version. The problems are time consuming and producing bugs and other failures when using the updated software. The proposed model consists two main algorithms, which are deletion and selection regarding classifying types of the requirements. According to this, the percent of reducing the size by using the proposed model is better than the traditional methods. Besides, percent of finding bugs of the six comparative studies are higher than the offered technique approximately 55%. Moreover, the efficiency of applying the proposed method is greater than the existing technique as about 86 %.
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    IT Design Skills Selection for Professional Development
    ( 2016-02)
    IT professionals in these days need to obtain multidisciplinary skill sets in order to succeed in their career. Design skill is considered as one of important characteristic for IT professionals. Many researches addressed design skill sets differently. This results in an increasing numbers of design skill items, in which some of those items have their meaning slightly different from each other. These long lists of design skill items can cause to long range of questionnaire. This study evaluates three techniques used for items selection which help reducing the number of skill items but with expect to remain their value within the selected items. The comparative studies used in this work are random selection, statistics selection, and effective coverage-based selection. The study found that the proposed technique provides the most satisfy result comparing to the other two techniques. According to this, the reduction rate by using this model is better than random and statistics algorithms about 47.83% and 34.78% respectively. Moreover, the percent coverage by using the proposed model is higher than the traditional methods approximately 13-26 %.
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    Thailand’s ICT Readiness for the Asean Economic Community
    ( 2016) Jittima Wongwuttiwat
    ICT development in Thailand and the other ASEAN members must be prepared for the environment of the ASEAN Economic Community (AEC) which will start formally at the end of the year 2015. The Ministry of ICT in Thailand has established several ICT policies and programs for ICT administrative management in both public and private enterprises in order to create a strong network of relationships to deal with competitors in ASEAN. This study compares Thailand with the other ASEAN Plus 3 member nations based on their stage of economic development and three important indicators of competitiveness (the higher education system, technology readiness, and business innovation). The findings identify Thailand’s position with respect to ICT development relative to the other ASEAN Plus 3 nations and point to strategies and partnerships that need to be developed in Thailand in order to maintain a competitive position within the AEC.