Provide a basic method for estimating software projects based on logical transactions
Subject Areas : Generalmehrdad shahsavari 1 , ali mahjour 2
1 -
2 -
Keywords: Visual attention, eye tracker, web pages, menu,
Abstract :
In this study, in order to determine the level of visual attention of users to the right menu and to the left menu of web pages, the number of dazzles on the right and left menu was measured using an eye tracker to determine which menu is preferable to users in terms of visual attention. contract. Method: 116 pages containing two right and left menus were displayed in the form of 3 sets of Persian-English and English-Persian for 30 subjects and the subjects were required to find a word in the menus. Data related to the number of users' dazzle on each menu, which was an indication of their visual attention to that menu, was recorded and collected using the gaze tracker. Results: The total number of user idiots on the menus of the English collection did not differ according to the order of the menus (right or left). But the total number of user wonders on the menus of the Persian collection, the Persian-English collection and in general in all the pages of the three collections was different due to the jump in the arrangement of the menus (right or left) and on the right menu more than the left menu. Conclusion: Considering the higher number of dumbbells on the right menu in this study and the proven advantages of the right menu, as well as the fact that the advantage of having a left-hand menu in China has been in cultures whose mother tongue is read from left to right. Although the results of previous studies on the high speed of homework and interaction with the left-hand menu are inconsistent, web designers can be advised to use the right-hand menu when designing native websites.
1. جلالي، ح. (1385). مديريت پروژههاي نرمافزاري. تهران: دانشگاه صنعتي مالك اشتر.
2. Adams, Scott. (2007). Requirements analysis and specification. CSE432. 3-4.
3. Carroll, Edward. (2002).Estimating Software Based on Use Case Points. Agilis Solutions, A Business Unit Of Hepieric, Inc, 257-258.
4. Coombs, Paul. (2003). IT Project Estimation- A Practical Guide of the Costing of Software. Cambridge University Press.
5.Jones, Capers. (2005). Software Estimating Methods for Large Projects. Crosstalk, 10.
1. Laird, Linda, M. (2006). The Limitations of Estimation. Published by the IEEE Computer Society. 42-44.
6.Laird, Linda, M. (2006). Software Measurement and Estimation : A Practical Approach. IEEE Computer Society / Wiley Partnership, 2.
7.Lakshmanan, D. (2007). Potentiality Of Usecase Point Method for Estimating the Size and Effort of Software Development Projects. Medwell Journals, 1565-1568.
8. Molokken, K & Jorgensen, M. (2004). A Survey on Software Estimation in the Norwegian Industry. IEEE Computer Society, 2.
9. Peters, k. (2009). Software Project Estimation",Simon Farser University.
