Software Project Planning and Resource Allocation Using Ant Colony Optimization with Uncertainty Handling

نویسندگان

  • Vivek Kurien
  • Rashmi S Nair
چکیده

In software engineering field, developing software tools is challenging and important. In software project humans are important. Human resources are mainly needed. In software project, planning is important. Since software project is much related to human resource, the human resource allocation is the important problem. A software project planning tool must consider the project planning as well as human resource allocation problem. Also the uncertainty factors can occur. In current approach it develops an event based scheduler and an ant colony optimization. The proposed system represents a plan by task list and employee allocation matrix. In the EBS, the beginning time of the project, the time when resources are released from finished tasks, and the time when employees join or leave the project are regarded as events. For planning and employee allocation ACO is used. In real world projects the uncertain events can occur. Previous models are not much considering about uncertainty. The uncertainty can be considered as an event in event based scheduler. The existing event based scheduler is modified, to include the uncertain events such as unexpected absence of employee, termination of employee. Such uncertain can be handled in the current system.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Study of Project Scheduling and Resource Allocation Using Ant Colony Optimization

Task Scheduling and Resource Allocation is an important phase in Project Management. Scheduling Problem in Software Projects is NP-complete and various algorithmic approaches have been studied to develop an optimal solution to generate a schedule, which will be cost effective, utilize resources effectively and meet the target deadline. This paper addresses the above problem in detail and review...

متن کامل

Event Based Project Scheduling Using Optimized Ant Colony Algorithm

The need for computer-aided tools for Task Scheduling and Resource share/allocation in Software Industry is increasing. The traditional method uses both Event-Based Scheduler (EBS) and Ant Colony Optimization (ACO) to tackle both the problems in Project Planning. Due to this significance and challengesof project planning, there is a fast growing need for improvingvaluablecomputer years. The exi...

متن کامل

Optimal Distributed Generation (DG) Allocation in Distribution Networks using an Improved Ant Colony Optimization (ACO) Algorithm

Abstract: The development of distributed generation (DGs) units in recent years have created challenges in the operation of power grids, especially distribution networks. One of these issues is the optimal allocation (location and capacity) of these units in distribution networks. In this thesis, a method based on the improved ant colony optimization algorithm is presented to solve the problem ...

متن کامل

Resource leveling scheduling by an ant colony-based model

In project scheduling, many problems can arise when resource fluctuations are beyond acceptable limits. To overcome this, mathematical techniques have been developed for leveling resources. However, these produce a hard and inflexible approach in scheduling projects. The authors propose a simple resource leveling approach that can be used in scheduling projects with multi-mode execution activit...

متن کامل

A Study on Multi Project Resource Constrained Project Scheduling using Metaheuristic Approach

Project management in the business field is defined as managing and directing time, material, personnel, and costs to complete a particular project. One important phase in the project planning is Project Resource Scheduling. This process identifies resources amount and type according to the activity that scheduled. Planning the efficient use of resources is a complex task. The purpose is to cre...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014