By Suresh Chandra Satapathy, A. Govardhan, K. Srujan Raju, J. K. Mandal

This quantity includes seventy three papers provided at CSI 2014: rising ICT for Bridging the long run: lawsuits of the forty ninth Annual conference of desktop Society of India. The conference used to be held in the course of 12-14, December, 2014 at Hyderabad, Telangana, India. This quantity comprises papers quite often inquisitive about Fuzzy platforms, picture Processing, software program Engineering, Cyber defense and electronic Forensic, E-Commerce, vast facts, Cloud Computing and ICT applications.

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This ensures definite attention of the driver that something happened which requires immediate attention. Immediately after sensing the breakdown car, sensors sense this information and broadcast via sensors that are built in sensor equipped cars. 3. 5. This out performs the furnishing clear picture of the information traced. 1 Transmission of Emergency Messages through Web Server Using Google Cloud Messaging (GCM) Service, which Allows Transmission to Nearby Android Mobiles (Range Based) The following procedure is adopted to send information to VANET users about the accident object: 1.

Software cost estimation with incomplete data. IEEE Transactions on Software Engineering 27(10) (2001) 3. : A neurofuzzy cost estimator. In: Proceedings of the Third International Conference on Software Engineering and Applications, SAE 1999, pp. 401–406 (1999) Software Effort Estimation through a Generalized Regression Neural Network 29 4. : Software Engineering Economics. Prentice-Hall, Englewood Cliffs (1981) 5. : A General Empirical Solution to the Macro Software Sizing and Estimating Problem.

The categories are represented by a numeric value. Kilo Delivered Source Instructions (KDSI) is the only numeric attribute. COCOMO dataset usually assesses new techniques accuracy. Fig. 1 shows the effort histogram for COCOMO dataset. Fig. 1. 2 Regression Analysis with MMRE Formula (Mean Magnitude Relative Error) and MdMRE (Median Magnitude Relative Error) It is necessary to measure software estimates accuracy for evaluation purposes. In this context, the commonly used evaluation criteria in software engineering [16] are: Magnitude Relative Error (MRE) computes the absolute percentage of error between actual and predicted effort for each reference project.

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