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Software Defect Prediction by Data Science and Machine Learning Approaches

The quality, dependability, and cost of maintenance are all significantly impacted by the existence of software flaws. Bug-free software, especially software that has been thoroughly built, is difficult to obtain because of the many hidden problems that have been found [7, 9]. A key issue for software technology is the creation of a model based on software bug prediction that can identify faulty components in the early stages of development. As a result, this is neither a linear or constant operation. PSO's formal foundations will be briefly discussed in the section that follows. A linear PSO allows the notion of margin maximization to be explained in an extremely easy manner since the score remains direct and constant number everywhere it works. The pattern of precision in graph analysis differs from that of accuracy. Two datasets, JM1 and KC1, show enhanced precision in the case of accuracy.

Published by: Vishal Thakur, Ashok Kumar Kashyap, Aditi Badhan

Author: Vishal Thakur

Paper ID: V8I4-1169

Paper Status: published

Published: July 13, 2022

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Research Paper

Improved Workflow Scheduling by Hybrid Swarm Optimization in Cloud Computing

Cloud Computing, as demonstrated by the NIST (National Institute of Standards and Technology), is a method under which a prevalent pool of resources or assets (networks, servers, services, applications, and storage) could be easily retrieved on demand and it can be released. There seems to be a lot of discussion in the industrial and academic world about its description, future, and context of cloud computing. The development of cloud computing has resulted in many benefits for the implementation of scientific workflows. Workflows are widely utilized application models for computer sciences. It defines a series of calculations that allow data analysis in a distributed and systematic manner and has also been effectively used to produce meaningful technological innovations in multiple computational fields. Cloud Infrastructure as a Service (IaaS) provides a simple flexible, scalable, and accessible infrastructure for the implementation of these applications analysis of cost and time by FPA with PEFT ranking shows high cost and Time. In case of GWO with PEFT reduces cost and time significantly. So, the decision of optimization plays an important role in the scheduling of tasks. Through simulation results it has been observed that Grey Wolf Optimization shows significant results in terms of cost and time on all the workflows of the cloud as compare to Flower Pollination Algorithm (FPA) and Genetic Algorithm (GA).

Published by: Ashok Kumar Kashyap, Vishal Thakur

Author: Ashok Kumar Kashyap

Paper ID: V8I4-1168

Paper Status: published

Published: July 13, 2022

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Research Paper

A study on the performance of Pradhan Mantri Mudra Yojna (PMMY)

Pradhan Mantri Mudra Yojna was launched by the Honorable Prime Minister of India Shri. Narender Modi on 8th April 2015. Under the Pradhan Mantri Mudra Yojna (PMMY), 3 types of loans are given from the bank such as Shishu, Kishor, and Tarun, where Loan up to 10 lakh can be availed in the Tarun category. The government of India established a new organization called MUDRA (Micro Units Development & Refinance Agency Limited), Which takes the responsibility for the development and refinancing of small firm loans made under the PMMY program. This study focused on the performance of Mudra Yojana, data in this research work has been collected from secondary sources such as various journals, articles, and MUDRA websites. The aim of the research paper is to study the performance of different Categories under MUDRA Scheme, evaluate the loan sanction by financial institutions in the different states of India, and critically evaluate the Pradhan Mantri Mudra Yojana (PMMY). The paper analysed based on secondary sources like State-wise Performance, Regional wide analysis, Agency wise Achievement, and Assistance to less privileged sections.

Published by: D. Rajagopal

Author: D. Rajagopal

Paper ID: V8I4-1161

Paper Status: published

Published: July 13, 2022

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Research Paper

Seismic analysis of a multistory building using push over and nonlinear time history methods.

Non-linear analysis of G+5 storied RCC structure by using push over and Non-linear Time History Methods considering different ground motions. Bhatwari, Gopeshwar, Myanmar, and Srinagar are the ground motion data considered for Non-linear Time History Method. For modeling and analysis SAP 2000 software has been used for the G+5 storied RCC structure. In this paper, Base Shear, Displacement, Plastic Hinge formation, Performance point, Push Over Curve are generated after analysis.

Published by: Akshay Sudhir Naik, Prashant Barbudhe, Dr. Atulya Patil

Author: Akshay Sudhir Naik

Paper ID: V8I4-1157

Paper Status: published

Published: July 13, 2022

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Research Paper

Use of a spacer layer and doping, 0.5 µm AlInAs/InGaAs to improve mobility of HEMT

In this article, we optimize the performance of a high electron mobility In0.53Ga0.47As/In0.52Al0.48As transistor with a 0.5 m gate length and delta doping. Here, we have improved the mobility of the HEMT using variables like spacer layer fluctuation and delta doping. We simulate the -doped In0.53Ga0.47As/In0.52Al0.48As HEMT's conduction band discontinuities, threshold voltage, trans-conductance, cut-off frequency, and high-density two-dimensional electron gas. Analysis has been done on the parameters affecting the conduction band discontinuities, high-density 2DEG, and HEMT performance optimization.

Published by: Farhan Aziz, Vishal Lal Goswami, Ashutosh Dubey, Ranjeet Singh

Author: Farhan Aziz

Paper ID: V8I4-1151

Paper Status: published

Published: July 11, 2022

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Research Paper

Lexical analyser web extension for text simplification

Lexical simplification means the process of providing alternatives to the complex words in the sentence with texts that are much simpler to understand, while also preserving the context and grammar of the original text to make the whole sentence easier to understand. All of the recent work involving lexical simplification relies on unsupervised tasks to learn simpler alternatives to complex words. But the drawback of most of these researches has been the fact that they provide simpler words without taking the context of the complex world in the sentence into account. In this paper, we are proposing a lexical simplifier that is based on contextual learnings from the sentence. We have applied the pre-trained representation model, BERT. It is a very powerful tool that can make use of the broader context of the sentence in both forward and backward directions. We have also taken the word frequency indicator from the Subtlex list, to produce results that will be more correct both semantically and grammatically. We have also added a web extension for the simplification of the text on the webpage, which takes the input from the user, processes the text on the server end, and gives the result in return after the computation is over.

Published by: Harchit Mahajan, Prateek Koul, Sukhjeet Singh

Author: Harchit Mahajan

Paper ID: V8I4-1143

Paper Status: published

Published: July 8, 2022

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