Predictive Approach towards Software Effort Estimation using Evolutionary Support Vector Machine

Abstract

The project effort measurement is one of the most important estimates done in project management domain. This measure is done in advance using some traditional methods like Function Point analysis, Use case analysis, PERT analysis, Analogous, Poker, etc. Classical models have limitations that they are burdensome to implement, especially when there are LOC (lines of code) or objects’ count required in measurement. Sometimes historical information regarding a project is also considered to estimate the projects’ effort. But these estimates are then needed to be adjusted. The idea proposed in this research is to determine what factors regarding a project are directly related to the effort estimation. Other than that a model is proposed to predict the effort using minimum number of parameters in software project development.

Authors and Affiliations

Tahira Mahboob, Sabheen Gull, Sidrish Ehsan, Bushra Sikandar

Keywords

Related Articles

A Multi-Label Classification Approach Based on Correlations Among Labels

Multi label classification is concerned with learning from a set of instances that are associated with a set of labels, that is, an instance could be associated with multiple labels at the same time. This task occurs fre...

An Evaluation of the Proposed Framework for Access Control in the Cloud and BYOD Environment

As the bring your own device (BYOD) to work trend grows, so do the network security risks. This fast-growing trend has huge benefits for both employees and employers. With malware, spyware and other malicious downloads,...

A Blockchain Technology Evolution Between Business Process Management (BPM) and Internet-of-Things (IoT)

A Blockchain is considered the main mechanism for Bitcoin concurrency. A Blockchain is known by a public ledger and public transactions stored in a chain. The properties of blockchain demonstrate in decentralization as d...

An Efficient Participant’s Selection Algorithm for Crowdsensing

With the advancement of mobile technology the use of Smartphone is greatly increased. Everyone has the mobile phones and it becomes the necessity of life. Today, smart devices are flooding the internet data at every time...

Building a Penetration Testing Device for Black Box using Modified Linux for Under $50

This study analyzes the use of a Raspberry Pi (RPi) as part of a Penetration Tester’s toolkit. The RPi’s form factor, performance to cost ratio, used in conjunction with modified Linux, allows the RPi to be a very versat...

Download PDF file
  • EP ID EP259095
  • DOI 10.14569/IJACSA.2017.080554
  • Views 115
  • Downloads 0

How To Cite

Tahira Mahboob, Sabheen Gull, Sidrish Ehsan, Bushra Sikandar (2017). Predictive Approach towards Software Effort Estimation using Evolutionary Support Vector Machine. International Journal of Advanced Computer Science & Applications, 8(5), 446-454. https://europub.co.uk/articles/-A-259095