Faculty Publications
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Item Syntactic and semantic feature extraction and preprocessing to reduce noise in bug classification(2012) Agrawal, R.; Guddeti, G.In software industry a lot of effort is spent in analyzing the bug report to classify the bugs. This Classification helps in assigning the bugs to the specific team for Bug Fixing according to the nature of the bug. In this paper, we have proposed a data mining technique applying syntactic and semantic Feature Extraction to assist developers in bug Classification. Extracted features are organized into different feature groups then a specific preprocessing technique is applied to each feature group. The applied methods have reduced the noise in the bug data compared to traditional approach of word frequency for text categorization. We have analyzed our approach on a collection of bug reports collected from a networking based organization (CISCO).The experiments are performed using Naive Bayes Multinomial Model and Support Vector Machine on features obtained after preprocessing. © 2012 Springer-Verlag.Item Implementation of Acoustic Emission Testing to Study the Type of Cracking in Reinforced Concrete Beams(Springer Science and Business Media Deutschland GmbH, 2021) Ghosh, S.; Agrawal, R.; Vidya Sagar, R.In this experimental study, crack classification in reinforced concrete (RC) beams was carried out using acoustic emission (AE) testing. Two types of under reinforced RC beams were tested in laboratory subjected to four-point bending, and monotonically increased load was applied. The first type of RC beam had shear reinforcement (steel stirrups), and the second type of RC beam had no shear reinforcement. The generated AE during the fracture process in the tested RC beams were used for the crack classification analysis. Gaussian mixture modeling (GMM) of acoustic emission signals was performed. It was observed that the RC beam without shear reinforcement failed suddenly (brittle nature). However, the RC beam with shear reinforcement failed gradually thereby exhibiting ductile nature. In both the RC beams, considerable AE related to shear cracking appeared at a 20–30% peak load. In the case of the RC beam with shear reinforcement, initially, tensile cracks were developed at the bottom of the beam and slowly started widening upward. Diagonal shear cracks started forming near to the supports when the test specimen reaching to collapse. In the case of the RC beam with no shear stirrups, tensile cracks originated at the bottom of the beam. But in this case, the influence of shear cracks developed near to the supports was more pronounced as it propagated rapidly. By comparing the different AE parameters, a steady increase in the number of hits till failure was observed in the case of the RC beam with shear reinforcement. But on the other hand, an abrupt increase in the number of hits was observed after 50% of peak load in the case of the RC beam with no shear reinforcement. The results are useful to study the sensitivity of AE to the shear reinforcement present in the RC beams. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.