منابع مشابه
Applying Process Simulation to Software Project Scheduling
Good project scheduling is an essential yet extremely hard task in software management practice. The time needed to complete a development activity usually is known only roughly. Often, the completion of an activity is delayed due to unanticipated rework. In this paper, we show how process simulation can be utilized in order to support software managers in finding good schedules for their proje...
متن کاملA Hybrid Approach for Software Project Scheduling
This research work handles Software project scheduling problem with a hybrid approach. In this, a hybrid approach can handle combination of two different algorithms they are Event Based Scheduler(EBS) and Ant Colony Optimization(ACO). Which provide scheduling and also allocate the resources based on the project. The basic idea of the EBS is to adjust the allocation of employees at events and ke...
متن کاملSolving Project Scheduling Problems by Minimum Cut Computations Solving Project Scheduling Problems by Minimum Cut Computations †
In project scheduling, a set of precedence-constrained jobs has to be scheduled so as to minimize a given objective. In resource-constrained project scheduling, the jobs additionally compete for scarce resources. Due to its universality, the latter problem has a variety of applications in manufacturing, production planning, project management, and elsewhere. It is one of the most intractable pr...
متن کاملA discrete simulation model for assessing software project scheduling policies
Good project scheduling is an essential, but extremely hard task in software management practice. In a software project, the time needed to complete some development activity is difficult to estimate. Often, the completion of activities is delayed due to unanticipated rework which is caused by feedback in the process. In this paper, we show how process simulation can be used to support managers...
متن کاملA Hybrid Ant Colony Optimization Algorithm for Software Project Scheduling
The extraction of comprehensible knowledge is one of the major challenges in many domains. In this concept, an ant programming (AP) framework, which is capable of mining classification rules easily comprehensible by humans, and, therefore, capable of supporting expert-domain decisions, is presented. The algorithm proposed, called grammar based ant programming (GBAP), is the first AP algorithm d...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/16917-7079