Software engineering: theory and practice

This study assesses the prevalence of workplace bullying in a sample of US workers, using a standardized measure of workplace bullying (Negative Acts Questionnaire, NAQ), and compares the current study's prevalence rates with those from other bullying and aggression studies. The article opens by defining bullying as a persistent, enduring form of abuse at work and contrasting it with other negative workplace actions and interactions. Through a review of the current literature, we propose and test hypotheses regarding bullying prevalence and dynamics relative to a sample of US workers. After discussing research methods, we report on the rates of bullying in a US sample, compare these to similar studies, and analyse the negative acts that might lead to perceptions of being bullied. Based upon past conceptualizations, as well as research that suggests bullying is a phenomenon that occurs in gradations, we introduce and provide statistical evidence for the construct and impact of bullying degree. Finally, the study explores the impact of bullying on persons who witnessed but did not directly experience bullying in their jobs.

Burned by bullying in the American workplace: Prevalence, perception, degree and impact

Impact of requirements volatility on the software development lifecycle

Currently, the most important factor which is receiving more attention is the requirements uncertainty in software projects development. Requirements uncertainty during the development of software project is identified as the most significant threat, and managing it is essential to achieve the successful completion of software projects. Requirements uncertainties have huge impact on budget, time and quality of the finished product. Several projects have either failed or challenged due to requirement uncertainty. Due to uncertainty in the requirements, it is very difficult to estimate the cost, schedule, efforts and its development approach in the early stages of software development process. This, in turn, will directly affect the development process. This may happen to be a strong reason for software project failure. Thus, uncertain requirements must be managed. The objective of this paper is to identify the relationships between uncertain requirements and other important parameters. Furthermore, the impact relationship between uncertain requirements and other parameters are established and validated. A conceptual research model is developed for relationship establishment as well as validated by an experimental study focused on a framework through online questionnaire survey. Responses are collected mostly from the Indian IT companies. The study results show a positive and significant relationship among requirements uncertainty and other important parameters. This research paper reveals the need of uncertainty analysis in the development process of software projects in order to recognize the role of uncertainty in software development process.

Cognitive impact validation of requirement uncertainty in software project development

Now-a-days, Information technology has covered almost every aspect of human life. The software industry is a main component of IT industry. Software projects have a very high probability of failure and a major reason behind is poor requirement engineering process. Potential requirement related threats or risks must be identified in the earlier stages of development so that negative impact of their effect can be minimized. Many approaches have been proposed to effectively manage requirement engineering challenges. This work aims to study available work in requirement risk management along with their pros and cons.

A Systematic Literature Review Of Multi-Criteria Risk Factors (VUCA) In Requirement Engineering

Development is a dynamic activity. Requirements of the stakeholders keep on changing throughout the lifecycle of a project development. These Volatile requirements are considered as a major risk factor during system development in the software industry. Requirement Volatility is found to be having a significant impact on schedule & cost overrun in software projects. This paper discusses an approach for identifying volatile requirement and proposes an algorithm to automate the identification of volatile requirements in a requirement document at an early stage so that preventive measures can be taken. Also, we are proposing an approach to analyze the dependencies among various requirements which can be very lucrative in requirement management especially in the presence of volatile requirements.

/pdf/an-efficient-approach-for-requirement-volatility-5gek3mwisl.pdf

An Efficient Approach for Requirement Volatility Identification

The last decade has seen the rise of innovations such as smart computers, wearable devices, smartphones, digital cameras, robots, social media networks, and ICT advancements in day-to-day life, leading to the digitization of numerous activities. Advances in trending technologies have contributed to their adaptation in every part of human’s daily routine. Almost all healthcare-associated domains are now adapting to eHealth. Health professionals have been able to collect medical records, exchange medical data through a network of professionals and patients, provide healthcare through digital media, and track various health-related events, diseases, and disease outbreaks through a range of technologies, such as social media sites, applications, smartphones, and smart objects. This has resulted in an ample amount of knowledge related to patients that is created and needs to be handled effectively for better results. Although big data is the obvious option to handle this vast data collection, data protection and security for public health data is a prime concern. A blockchain is known as a record database located in a distributed personal computer network called nodes. In particular, it is a mutual, permanent record of peer-to-peer transactions constructed from linked blocks of transactions and stored in a digital ledger. No single person owns it, i.e., it is decentralized. The healthcare sector is one of the sectors looking to embrace the blockchain. This chapter aims to reflect the numerous facts leading to the introduction of blockchain technology in general and electronic medical record management of healthcare in particular. The chapter will study the various blockchain implementation frameworks.

Blockchain Technology for Healthcare Record Management

In this increasingly connected world, the internet has affected almost every aspect of human life. With the advancements in technology came the curse of many cyber offences. Cyberbullying studies are usually focused on children and adolescents, but the last decade had witnessed a paradigm shift on the working adults. Cyberbullying is more complex and insidious than traditional forms of workplace bullying. Workplace bullying has negative impacts on the employees' health and organization repute. Studies indicate that organizations are not well equipped to deal with workplace cyberbullying. The chapter includes definitions of cyber violence and cyberbullying, cyberbullying statistics, workplace cyberbullying, and case studies in the Indian context. Further, the chapter presents studies of workplace cyberbullying in India, maintaining that more longitudinal work is required to facilitate relevant and effective interventions to tackle the problem in the subcontinent. It is crucial that workplace cyberbullying are recognized in law, so as to deal with the risks to employee health and safety.

Mapping Cyberbullying and Workplace Cyberbullying: A Road Towards Understanding Research Gaps in the Indian Context

Online surveys have become a significant wellspring of data for clients prior to settling on an educated buy choice. Early audits of an item will in general exceptionally affect the ensuing item deals. In this paper, we step up and study the conduct qualities of early reviewer through their posted audits on our shopping gateway. In explicit, we partition item lifetime into three back to back stages, in particular early, lion's share. A client who has posted a survey in the beginning phase is considered as an early analyst. We quantitatively describe early reviewer dependent on their rating practices, the supportiveness scores got from others and the relationship of their surveys with item prevalence. We have tracked down that (1) an early analyst will in general relegate a higher normal rating score; and (2) an early reviewer will in general post more supportive audits. Our examination of item surveys additionally demonstrates that early reviewers appraisals and their got support scores are probably going to impact item prominence. By survey audit posting measure as a multiplayer rivalry game, we propose a novel edge based implanting model for early analyst forecast. Broad investigations on two diverse web based business datasets have shown that our proposed approach beats various cutthroat baselines.

/pdf/characterizing-and-predicting-reviews-for-effective-product-44ey0rllta.pdf

Halima Sadia

Papers

An Efficient Approach for Requirement Volatility Identification

Blockchain Technology for Healthcare Record Management

A Systematic Literature Review Of Multi-Criteria Risk Factors (VUCA) In Requirement Engineering

Mapping Cyberbullying and Workplace Cyberbullying: A Road Towards Understanding Research Gaps in the Indian Context

Characterizing and Predicting Reviews for Effective Product Marketing and Advancement