Bayesian Analysis of Empirical Software Engineering Cost Models

نویسندگان

  • Sunita Chulani
  • Barry W. Boehm
  • Bert Steece
چکیده

To date many software engineering cost models have been developed to predict the cost, schedule and quality of the software under development. But, the rapidly changing nature of software development has made it extremely difficult to develop empirical models that continue to yield high prediction accuracies. Software development costs continue to increase and practitioners continually express their concerns over their inability to accurately predict the costs involved. Thus, one of the most important objectives of the software engineering community has been to develop useful models that constructively explain the software development life-cycle and accurately predict the cost of developing a software product. To that end, many parametric software estimation models have evolved in the last two decades [Putnam92, Jones97, Park88, Jensen83, Rubin83, Boehm81, Boehm95, Walkerden97, Conte86, Fenton91, Masters85, Mohanty81].

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

Cost Analysis of Acceptance Sampling Models Using Dynamic Programming and Bayesian Inference Considering Inspection Errors

Acceptance Sampling models have been widely applied in companies for the inspection and testing the raw material as well as the final products. A number of lots of the items are produced in a day in the industries so it may be impossible to inspect/test each item in a lot. The acceptance sampling models only provide the guarantee for the producer and consumer that the items in the lots are acco...

متن کامل

A New Empirical Model to Increase the Accuracy of Software Cost Estimation (TECHNICAL NOTE)

We can say a software project is successful when it is delivered on time, within the budget and maintaining the required quality. However, nowadays software cost estimation is a critical issue for the advance software industry. As the modern software’s behaves dynamically so estimation of the effort and cost is significantly difficult. Since last 30 years, more than 20 models are already develo...

متن کامل

Computational Intelligence in Empirical Software Engineering

The objective of Empirical Software Engineering is to improve the software development and maintenance processes and consequently the quality of theirs various deliverables. This can be achieved by evaluating, controlling and predicting some important attributes of software projects such as development effort, software reliability, and programmers productivity. One of the most interesting sub-f...

متن کامل

Estimation of Products Final Price Using Bayesian Analysis Generalized Poisson Model and Artificial Neural Networks

Estimating the final price of products is of great importance. For manufacturing companies proposing a final price is only possible after the design process over. These companies propose an approximate initial price of the required products to the customers for which some of time and money is required. Here using the existing data of already designed transformers and utilizing the bayesian anal...

متن کامل

Bayesian statistical effort prediction models for data-centred 4GL software development

Constructing an accurate effort prediction model is a challenge in Software Engineering. This paper presents three Bayesian statistical software effort prediction models for database-oriented software systems, which are developed using a specific 4GL tool suite. The models consist of specification-based software size metrics and development team’s productivity metric. The models are constructed...

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:
  • IEEE Trans. Software Eng.

دوره 25  شماره 

صفحات  -

تاریخ انتشار 1999