Software Fault Estimation Framework based on aiNet
نویسندگان
چکیده
منابع مشابه
Software Fault Estimation Framework based on aiNet
Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction. Because high fault prone metrical data are much scattered and multi-centers can represent the whole dataset better, we used artificial immune network (aiNet) algorithm to extract and simplify ...
متن کاملSoftware Fault Inference Based on Expert Opinion
Software fault prediction is a process which predicts that the software modules are faulty or not by using the software metrics and some soft computing methods. Software metrics are divided into two main categories such as object-oriented and method-level metrics. While class relationships and dependencies are covered by object-oriented metrics, behaviors of the classes can be also measured by ...
متن کاملA Robust Adaptive Observer-Based Time Varying Fault Estimation
This paper presents a new observer design methodology for a time varying actuator fault estimation. A new linear matrix inequality (LMI) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (FAFE). The FAFE is capable of estimating a wide range of time-varying actuator fault...
متن کاملFuzzy Logic based framework for Software Development Effort Estimation
Software development effort estimation is among one of the most challenging jobs that software developers need to perform. Due to the lack of information during the early stages of software development, the developers often express their inability to estimate accurately the effort, cost and schedule of the software under consideration. This inaccuracy in estimation leads to monetary losses as w...
متن کاملA Novel ICA-based Estimator for Software Cost Estimation
One of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for SCE. COCOMO81 is one of the most popular...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2013
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2013.858907