Maximizing Roi on Software Development

Sikka, Vijay

  • 出版商: Auerbach Publication
  • 出版日期: 2019-09-11
  • 售價: $2,750
  • 貴賓價: 9.5$2,613
  • 語言: 英文
  • 頁數: 280
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367393662
  • ISBN-13: 9780367393663
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Maximizing ROI on Software Development explains how to execute best quality software development and testing while maximizing business value. It discusses Applied ROI in the context of methodologies such as Agile and Extreme Programming, and traditional methodologies including Six Sigma, the Capability Maturity Model(R) (CMM(R)), Total Cost of Ownership (TCO), and Product Line Models (PLM). The text discusses what is important in global terms and details how best to choose teams and partners, including outsourcers, and how to employ the latest tools and technologies. It provides models, metrics, and detailed case studies to improve current and future development projects, whether in house or outsourced, near shore or off-shore. The book offers perspectives on how quality improvement through software quality assurance (SQA) testing, planning, and execution is a powerful and effective route toward maximizing return on investment.

Divided into seven chapters, this friendly and informative guide can be read quickly, then used as a reliable reference by team leaders and members. It begins by reviewing software development, tools, and methodologies, followed by an examination of how development, maintenance, and integration have become more complex and will continue to do so. The book discusses best practices for managing this complexity and explores the business case for maximizing ROI.

The text then provides a comprehensive analysis of ROI from several perspectives, covering nomenclature, project success and failure, mathematics, processes, work products, and techniques. It details how to make global teams successful and how to evaluate Applied ROI implementation, and it includes case studies for wireless, enterprise, and CRM systems.