3 research outputs found

    A case study research on software cost estimation using experts' estimates, Wideband Delphi, and Planning Poker technique

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    This article shows a case study research that is performed to compare effectiveness of the Planning Poker and Wideband Delphi in two case studies. Although, Wide Band Delphi has been proposed many years ago and has enough supports in both industry and academic area but, Planning Poker is somewhat new. The study showed that applying these techniques in two companies which were using expert’s view for software cost estimation, increased the accuracy of cost estimation. Also, the results showed that Planning Poker led to better accuracy comparing to Wideband Delphi. However, this accuracy is not too much than Wideband Delphi, it was important that Planning Poker led to reducing financial risks of the projects comparing to Wideband Delphi. The study also showed that both Wideband Delphi and Planning Poker reduced the underestimates significantly

    Mining students' characteristics and effects on University preference choice : a case study of applied marketing in higher education.

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    University servers and databases store a huge amount of data including personal details, registration details, evaluation assessment, performance profiles, and many more for students and lecturers alike. Mining such data offers a huge potential in advancing the educational field in the country because data mining is able to extract important models and hidden patterns beneath the data, which will help in decision-making to improve the outcome of educational establishments. This work concerns with data related to students. Understanding the characteristics of students enrolled in the university is important as it helps the university or institution to strategize on marketing their education programmes. This paper analyzes the student characteristics of Universiti Putra Malaysia based on their preference choice during registration at the university. The experiments are carried out using the Oracle Data Miner software and the results are analyzed and discussed
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