Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

This sales letter may not influence you to be smarter, but the book that we offer will evoke you to be smarter. Yeah, at least you'll know more than others who don't. This is what called as the quality life improvisation. Why should this research methods in social relations? It's because this is your favourite theme to read. If you like this theme about, why don't you read the book to enrich your discussion?

Research methods in social relations

Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences best current practice of SRE software reliability measurement experience measurement-based analysis of software reliability software fault and failure classification techniques trend analysis in validation and maintenance software reliability and field data analysis software reliability process assessment emerging techniques software reliability prediction metrics software reliability and testing fault-tolerant SRE software reliability using fault trees software reliability process simulation neural networks and software reliability. Appendices: software reliability tools software failure data set repository.

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Handbook of software reliability engineering

Will Tracz, our esteemed editor and Used-Program salesman, has written an entertaining, non-technical book dealing with the practice (and lack of) of software reuse. Its a collection of essays, mostly rehashed (reused?) and updated from various columns and papers published over the years.. Its a short (a bit over 200 pages) easy reading and enjoyable book (I read most of it in one sitting). Some of the essays discuss what was printed in the past and a discussion of the current status of the points.

Safeware: System Safety and Computers

Word Health Organization declared coronavirus disease 2019 (COVID-19) as pandemic on 11 March 2020. After that on 14 March 2020 the Ministry of Home Affairs, India decided to treat COVID-19 as a "notified disaster" due to the spurt in the cases related to coronavirus in the country, leading to a complete shut down from 24 March 2020. This has affected all sectors of the country including the education sector. The near-total closure of schools, colleges, and universities has disrupted academic activities at various levels. The objective of this online survey study is to understand the day to day living, activities, learning styles, and mental health of young students of India during this unprecedented crisis and assess how they are adapting to the new e-learning styles and how they are managing their social lives.

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Effects of the Disastrous Pandemic COVID 19 on Learning Styles, Activities and Mental Health of Young Indian Students - A Machine Learning Approach

Purpose – The purpose of this research is to incorporate the exponentiated Weibull testing‐effort functions into software reliability modeling and to estimate the optimal software release time.Design/methodology/approach – This paper suggests a software reliability growth model based on the non‐homogeneous Poisson process (NHPP) which incorporates the exponentiated Weibull (EW) testing‐efforts.Findings – Experimental results on actual data from three software projects are compared with other existing models which reveal that the proposed software reliability growth model with EW testing‐effort is wider and effective SRGM.Research limitations/implications – This paper presents a SRGM using a constant error detection rate per unit testing‐effort.Practical implications – Software reliability growth model is one of the fundamental techniques to assess software reliability quantitatively. The results obtained in this paper will be useful during the software testing process.Originality/value – The present schem...

The exponentiated Weibull software reliability growth model with various testing‐efforts and optimal release policy: A performance analysis

This paper presents an in-depth understanding of Availability, which is one of the important pillars of Information Security and yet is not taken too seriously while talking about the security of an information system. The paper highlights the importance of Availability w.r.t. Security of information and the other attributes of security and also gives a realistic shape to the existing CIA triad security model. An in-depth understanding of the various factors that can impact the Availability of an information system (Software, Hardware and Network) is given. The paper also gives a categorization of the type of Availability that a system can have. The paper also explains the relation between Availability and other security attributes and also explains through what issues an information system may go while providing Availability.

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Information Availability: An Insight into the Most Important Attribute of Information Security

testing is an activity which is aimed for evaluating quality of a program and also for improving it, by identifying defects and problems. Software testing strives for achieving its goals (both implicit and explicit) but it does have certain limitations, still testing can be done more effectively if certain established principles are be followed. In spite of having limitations, software testing continues to dominate other verification techniques like static analysis, model checking, and proofs. So it is indispensable to understand the goals, principles and limitations of software testing so that the effectiveness of software testing could be maximized.

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Software Testing – Goals, Principles, and Limitations

Reliability is an important facet of software quality. Software reliability is the probability of the failure free operation of a computer program for a specified period of time in a specified environment. Software Reliability is dynamic and stochastic. It differs from the hardware reliability in that it reflects design perfection, rather than manufacturing perfection. This article provides an overview of Software Reliability which can be categorized into: modeling, measurement and improvement, and then examines different modeling technique and metrics for software reliability, however, there is no single model that is universal to all the situations. The article will also provide an overview of improving software reliability and then provides various ways to improve software reliability in the life cycle of software development.

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S. M. K. Quadri

Papers

Effects of the Disastrous Pandemic COVID 19 on Learning Styles, Activities and Mental Health of Young Indian Students - A Machine Learning Approach

The exponentiated Weibull software reliability growth model with various testing‐efforts and optimal release policy: A performance analysis

Information Availability: An Insight into the Most Important Attribute of Information Security

Software Testing – Goals, Principles, and Limitations

Improving Software Reliability using Software Engineering Approach- A Review