نتایج جستجو برای: software development effort estimation sdee

تعداد نتایج: 2060106  

2012
Yueming Sun Ye Yang He Zhang Wen Zhang Qing Wang

[Background]: Systematic Literature Review (SLR) has become an important software engineering research method but costs tremendous efforts. [Aim]: This paper proposes an approach to leverage on empirically evolved ontology to support automating key SLR activities. [Method]: First, we propose an ontology, SLRONT, built on SLR experiences and best practices as a groundwork to capture common termi...

2017
Murat Salmanoğlu Onur Demirörs Oktay Türetken

Effort is the main cost in software development projects, and software size is the main input for effort estimation. Project managers need to have sound size estimations to estimate required software effort. The inputs for size estimation models are generally software artifacts that are produced later in software development life cycle; however project managers need the estimations prior to the...

2013
Sultan Aljahdali Alaa Sheta

Software has played an essential role in engineering, economic development, stock market growth and military applications. Mature software industry count on highly predictive software effort estimation models. Correct estimation of software effort lead to correct estimation of budget and development time. It also allows companies to develop appropriate time plan for marketing campaign. Now a da...

Journal: :IET Software 2015
Mohammad Azzeh Ali Bou Nassif

Background: Analogy-Based Effort Estimation (ABE) is one of the efficient methods for software effort estimation because of its outstanding performance and capability of handling noisy datasets. Problem & Objective: Conventional ABE models usually use the same number of analogies for all projects in the datasets in order to make good estimates. Our claim is that using same number of analogies m...

2012
M Usman Habib M Asim Ali Nauman Atique

The research work is an extension of the original UCP Model for software estimation by incorporating the factors that are currently weighted in estimation of software by IT professionals. The rationale of the study is to make UCP Model effective, realistic and more accurate for the current IT industry. To identify the gap between the original UCP model and the current estimation considerations,...

2002
Isabella Wieczorek Melanie Ruhe

The objective of this paper is to investigate the pertinent question whether multi-organizational data is valuable for software project cost estimation. Local, company-specific data is widely believed to provide a better basis for accurate estimates. On the other hand, multi-organizational databases provide an opportunity for fast data accumulation and shared information benefits. Therefore, th...

Journal: :J. UCS 1998
Christine W. Thackaberry Roy Rada

Software engineering methods and metrics to estimate development time for the development and maintenance of computer-based training (CBT) differ from methods and metrics used to develop large information systems. The estimation techniques for large information systems employ Lines-Of-Code and Feature/Function points to calculate project effort in staff-months [Boehm 1981]; techniques that are ...

2017
Ramesh Yadav Snehal Akanksha Nick Jenkins Brian Marick New Sun-Myung Hwang

In the field of software engineering, effort estimation plays an essential role. The process of testeffort estimation more important , in order to not exceed the budget of the project. This paperdiscusses one important aspects of this development, which is used in the field of effortestimation in software projects. This commonly used Method for test effort estimation will be...

2013
Kunal Gaurav Pooja Jha

Software development has always been characterized by some metrics. One of the greatest challenges for software developers lies in predicting the development effort for a software system which is based on developer abilities, size, complexity and other metrics. Several algorithmic cost estimation models such as Boehm’s COCOMO, Albrecht's' Function Point Analysis, Putnam’s SLIM, ESTIMACS etc. ar...

Journal: :International Journal of Computer Science and Informatics 2012

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