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Software Development Patterns and Antipatterns

Software Development Patterns and Antipatterns

Software development has been a troubling since it first started. There are seven chronic problems that have plagued it from the beginning: Incomplete and ambiguous user requirements that grow by >2% per month. Major cost and schedule overruns for large applications > 35% higher than planned. Low defect removal efficiency (DRE) < 85% on large systems. Cancelled projects that are not completed: > 30% above 10 000 function points. Poor quality and low reliability after the software is delivered: > 5 bugs per FP. Breach of contract litigation against software outsource vendors. Expensive maintenance and enhancement costs after delivery. These are endemic problems for software executives software engineers and software customers but they are not insurmountable. In Software Development Patterns and Antipatterns software engineering and metrics pioneer Capers Jones presents technical solutions for all seven. The solutions involve moving from harmful patterns of software development to effective patterns of software development. The first section of the book examines common software development problems that have been observed in many companies and government agencies. The data on the problems comes from consulting studies breach of contract lawsuits and the literature on major software failures. This section considers the factors involved with cost overruns schedule delays canceled projects poor quality and expensive maintenance after deployment. The second section shows patterns that lead to software success. The data comes from actual companies. The section’s first chapter on Corporate Software Risk Reduction in a Fortune 500 company was based on a major telecom company whose CEO was troubled by repeated software failures. The other chapters in this section deal with methods of achieving excellence as well as measures that can prove excellence to C-level executives and with continuing excellence through the maintenance cycle as well as for software development.

GBP 48.99
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Risk Analytics Data-Driven Decisions under Uncertainty

Risk Analytics Data-Driven Decisions under Uncertainty

The 2022 World Economic Forum surveyed 1 000 experts and leaders who indicated their risk perception that the earth’s conditions for humans are a main concern in the next 10 years. This means environmental risks are a priority to study in a formal way. At the same time innovation risks are present in theminds of leaders newknowledge brings new risk and the adaptation and adoption of risk knowledge is required to better understand the causes and effects can have on technological risks. These opportunities require not only adopting new ways of managing and controlling emerging processes for society and business but also adapting organizations to changes and managing new risks. Risk Analytics: Data-Driven Decisions Under Uncertainty introduces a way to analyze and design a risk analytics system (RAS) that integrates multiple approaches to risk analytics to deal with diverse types of data and problems. A risk analytics system is a hybrid system where human and artificial intelligence interact with a data gathering and selection process that uses multiple sources to the delivery of guidelines to make decisions that include humans and machines. The RAS system is an integration of components such as data architecture with diverse data and a risk analytics process and modeling process to obtain knowledge and then determine actions through the new knowledge that was obtained. The use of data analytics is not only connected to risk modeling and its implementation but also to the development of the actionable knowledge that can be represented by text in documents to define and share explicit knowledge and guidelines in the organization for strategy implementation. This book moves from a review of data to the concepts of a RAS. It reviews RAS system components required to support the creation of competitive advantage in organizations through risk analytics. Written for executives analytics professionals risk management professionals strategy professionals and postgraduate students this book shows a way to implement the analytics process to develop a risk management practice that creates an adaptive competitive advantage under uncertainty. | Risk Analytics Data-Driven Decisions under Uncertainty

GBP 74.99
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