Using Predictive Analytics to Mature IT Production

  • Abu el Ata N
  • Perks M
N/ACitations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter provides an overview of the advantages of using Optimal Business Control (OBC) principles to execute model-based IT system testing and identifies which traditional system testing tasks can be replaced with new model-based methods to increase testing effectiveness, efficiency, and coverage. Additionally, it presents reasons why companies should leverage new methods of predictive analytics throughout the systems development lifecycle (SDLC) to streamline processes, mitigate risks, and avoid long-term maintenance issues. Companies that have adopted the model-based methods and operationalized analytics through the creation of a test organization report significant gains including creation of competitive advantage, reduction of testing budgets by up to 60 %, and faster delivery of high performance systems

Cite

CITATION STYLE

APA

Abu el Ata, N., & Perks, M. J. (2014). Using Predictive Analytics to Mature IT Production. In Solving the Dynamic Complexity Dilemma (pp. 221–235). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-54310-4_21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free