An Integration of Clustering and Classification Technique in Software Error Detection
نویسنده
چکیده
The software project development plays important role in software quality. Measuring software quality in a specific manner such as error estimation and check severity of error which is related to the document bug .Data mining create a supportable platform for software project development by which software engineers easily achieved goal of project quality in given time duration and budget .In this paper we integrate both technique classification and clustering for software error detection. Classification technique analyzes the severity of software defect by J48GRAFT, LAD Tree, and BAYESNET also by Clustering technique measure maximum similar data object in data set within same cluster by K-Means.
منابع مشابه
vegetation change detection using multi-temporal remotly sensed data during recent three decades by artificial intelligence technique (Case study: protected area of Bashgol)
Quantitative and qualitative information of vegetation and its changes in duration of time as a basic foundation of determination of habitat quality, priority of protected area and also determination of price of ecosystem services in order to optimum management of natural resources and sustainable development is a very important technical point. In other hand, researchers are interested in rem...
متن کاملAutomatic road crack detection and classification using image processing techniques, machine learning and integrated models in urban areas: A novel image binarization technique
The quality of the road pavement has always been one of the major concerns for governments around the world. Cracks in the asphalt are one of the most common road tensions that generally threaten the safety of roads and highways. In recent years, automated inspection methods such as image and video processing have been considered due to the high cost and error of manual metho...
متن کاملWater Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis
Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters
 
In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy cluster...
متن کاملWater Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis
Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy clustering ...
متن کاملAn Optimization K-Modes Clustering Algorithm with Elephant Herding Optimization Algorithm for Crime Clustering
The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less time. Classification and clustering-based smart techniques can classify and cluster the crime-related samples. The most important factor in the c...
متن کامل