Reference Library Risk Management
	This page provides access to a variety of downloadable papers that address risk management issues. A Formal Risk Assessment Model for Software Evolution [PDF] Juan C. Nogueira, Luqi, Valdis Berzins and Nader Nada This paper introduces a formal method to assess the risk and the duration of software projects automatically. The method has been designed according the characteristics of evolutionary software processes. The authors introduce a set of metrics to measure productivity, requirement volatility and complexity. They construct a formal method based on these three indicators to estimate the duration and risk of evolutionary software processes. The approach introduces benefits in two fields: a) automation of risk assessment and, b) early estimation method for evolutionary software processes. An Introduction to Team Risk Management (Version 1.0) [PDF] Ronald P. Higuera, David P. Gluch, Audrey J. Dorofee, Richard L. Murphy, Julie A. Walker and Ray C. Williams This report on team risk management includes the following contents: an introduction, background, overview of team risk management, team risk management processes (continuous team risk management process overview, baseline risk assessment, closure), team building and communications, and observations and summary. A Risk Assessment Model for Evolutionary Software Projects [PDF] Luqi and J. Nogueira This paper introduces a formal model to assess the risk and the duration of software projects automatically, based on objective indicators that can be measured early in the process. The model has been designed to account for significant characteristics of evolutionary software processes, such as requirement complexity, requirement volatility and organizational efficiency. The formal model based on these three indicators estimates the duration and risk of evolutionary software processes. The approach supports (a) automation of risk assessment and, (b) early estimation methods for evolutionary software processes. Feasible Risk Management Futures: Majesty, Misery, or Melancholy? [HTML] Robert N. Charette This article discusses three basic futures the author sees for risk management a decade from now. Fundamentals of Software Risk Management [PPT] Frode L. Ødegård This PowerPoint presentation outlines risk management. The risk management process includes: identify risks (discovery, quantification, documentation, communication), analyze risks (activities, documentation), plan for risks (resolution strategies, activities, documentation), track risks, resolve risks (documentation), and learn about risks. Opportunity management is also included. Modeling and Managing Risk Early in Software Development [PDF] *FEE* Lionel C. Briand, William M. Thomas and Christopher J. Hetmanski The authors present an automated modeling technique which can be used as an alternative to regression techniques. They show how it can be used to facilitate the identification and aid the interpretation of the significant trends which characterize "high risk" components in several Ada systems. Finally, the authors evaluate the effectiveness of our technique based on a comparison with logistic regression based models. Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners [PDF] Michael Stamatelatos, George Apostolakis, Homayoon Dezfuli., Chester Everline, Sergio Guarro, Parviz Moieni, Ali Mosleh, Todd Paulos and Robert Youngblood This guide contains three parts. The first part contains a management introduction to PRA with the background of PRA, risk management, and an overview of PRA. The second part contains probability and its application to reliability and risk assessment, even frequencies and hardware failure models, scenario development, uncertainties in PRA, data collection and parameter estimation, human reliability analysis, modeling and quantification of common cause failures, software risk assessment, uncertainty propagation, presentation of results, and physical and phenomenological models. The third part contains PRA modeling process using two aerospace examples. Risk Analysis Methods - A Brief Review [PDF] Tilman Rasche Successful risk management hinges on comprehensive and detailed hazard mapping and understanding of possible consequences. No specific risk analysis method should be chosen until relevant hazards have been clarified. A summary comparison of hazard sources from the described high-risk industries is attempted in Table 1. Risk Management Process & Implementation Practice Book Number One: Overview and Guidance Little Aqua Book [PDF] American Systems Corporation This book contains the following contents: basic risk management rules, the risk management plan and process, seven steps to risk management, establish a risk policy and underlying commitment to manage risk, policy goals, risk management activities, risk management process infrastructure, sample risk management plan outline, designate a risk officer, identify risks, risk characterization form, analyze risks, use of quantitative triggers, prioritize risks, prioritize risks, and risk reserve. Risk Management Tools [PDF] Michael A. Greenfield This slide presentation outlines the following topics: continuous risk management process, NASA risk management requirements, fault tree analysis (FTA), failure mode and effect analysis (FMEA), and probabilistic risk assessment (PRA). Risk Matters: Techniques and Tools [HTML] *FEE* Cutter Consortium This article discusses a risk management survey conducted by the Cutter Consortium. First steps to get stated and tools used are also discussed. Software Project Management Risk Management & Organization [PPT] Glenn Booker This PowerPoint presentation includes: levels of risk management, risk assessment and control, risk identification, risk analysis, risk prioritization, risk control, risk management planning, risk resolution, risk monitoring, risk management tasks, core development issues, time breakdown for activities, project organization, project-based organization, function organization, matrix organization, organizational elements, and context diagram. Taxonomy - Based Risk Identification [PDF] Marvin J. Carr, Suresh L. Konda, Ira Monarch, F. Carol Ulrich and Clay F. Walker This report on taxonomy-based risk identification includes the following contents: an introduction, the context, the risk identification model (the software development risk taxonomy, the taxonomy-based questionnaire (TBQ), field testing the TBQ), the technical approach (taxonomy-based questionnaire derivation, evolutionary development), lessons learned (the method is effective and efficient, process is important, facilitation skills can be transitioned), and conclusions. Back to the top