Inclusion of Functional and Non-Functional Parameters for the Prediction of Overall Efforts of Mobile Applications. |
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| Affiliation: | 1. Research Scholar Maulana Azad National Urdu University Hyderabad Telangana;2. Dean, School of Technology Maulana Azad National Urdu University Hyderabad Telangana;1. Computer Science Department, College of Science and Human Studies at Hotat Sudair, Al Majmaah University, Hotat Sudair, Majmaah 11952, Saudi Arabia;2. Center for Research in Data Science (CREDAS), Institute of Autonomous Systems, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia;3. Computer Networks and Security Laboratory (LARCES), State Université of Ceara (UECE), Fortaleza, Brazil;4. College of Computer and Information Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia;1. Blekinge Institute of Technology, Karlskrona, Sweden;2. RISE Research Institutes of Sweden AB, Kista, Sweden;3. Mälardalen University, Västerås, Sweden;4. University of Applied Sciences Flensburg, Flensburg, Germany;1. Department of Computer Science & Information Technology, Maulana Azad National Urdu University, Hyderabad, India;2. Department of Electrical & Electronics, National Defence University of Malaysia, Kuala Lumpur, Malaysia;3. Department of Computer Science, Ambedkar Institute of Advanced Communication Technologies and Research, Delhi, India;4. Department of Computer Science, Universidad Internacional de La Rioja, Logroño, Spain |
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| Abstract: | Size is a major and main parameter for the estimation of efforts and cost of software applications in general and mobile applications in particular and estimating effort, cost and time has been a key step in the life cycle of the software project. In order to create a sound schedule for the project, it is therefore important to have these estimates as soon as possible in the software development life cycle. In past years, many methods have been employed to estimate size and efforts of mobile applications but till now these methods do not meet the expected needs from customer. In this paper, we present a new size measurement method i.e., Mobile COSMIC Function Points (MCFP) based on the COSMIC approach, which is a primary factor for estimation of efforts in mobile application development. This paper analyzes the possibility of using a combination of Functional and Non-functional parameters including both Mobile Technical Complexity Factors (MTCF) and Mobile Environmental Complexity Factors (MECF) for the purpose of mobile application sizing prediction and hence effort estimation. For the purpose of this study, thirty six mobile applications were analyzed and their size and efforts were compared by applying the new effort estimation approach. In this context of a mobile application, few investigations have been performed to compare the effectiveness of COSMIC, FP's and the proposed approach “COSMIC Plus Effort Estimation Model (CPEEM)”. The main goal of this paper is to investigate if the inclusion of Non functional parameters imposes an effect on the functional size of mobile application development. Upon estimating efforts using the proposed approach, the results were promising for mobile applications when compared the results of our approach with the results of the other two approaches |
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