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Why our brain is not built for softwareengineering. Knowledge work’ refers to tasks that take place mostly in our minds, like predicting scope, setting up plannings, considering consequences of changes to complex systems, working out test cases and estimating complexity. This will affect all estimates and predictions.
The primary purpose of softwareestimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ? 10 Deadly Sins of SoftwareEstimation , Steve McConnell , Construx, 2002. Steve McConnell.
What happens if you shift focus from "accurate estimation" to "reliably shipping by a date"? . If your project has no uncertainty, there is no need to estimate. All estimates have precision and accuracy. Deciding how much precision and accuracy is needed for a credible estimate is critical to the success of that decision.
Some feel that the cone does not provide any value for the work they do and does not match the reducing uncertainty in their estimates. First, the Cone of Uncertainty is a Principle used to define the needed reduction in the variances of estimates on Programs. Remember Risk Management is How Adults Manage Projects - Tim Lister.
If we look at the discipline of softwareengineering, we see that the microeconomics branch of economics deals more with the types of decisions we need to make as softwareengineers or managers. Softwareengineering economics." IEEE Transactions of SoftwareEngineering, 1 (1984): 4-21.
Reducing Estimation Uncertainty with Continuous Assessment: Tracking the 'Cone of Uncertainty’” Pongtip Aroonvatanaporn, Chatchai Sinthop and Barry Boehm, Center for Systems and SoftwareEngineering University of Southern California , Los Angeles, CA 90089, ASE’10 , September 20–24, 2010, Antwerp, Belgium, 2010. 37–48, 2007.
Then conjecture that NOT estimating will fix that symptom. Then conjecturing (here) that Not Estimating will somehow fix the problem of when you are DSTOP. The supposed evidence in the presentation, that estimating "does not work" starts with the Chaos Report. Principle #3 - Believe the Data, Not The Estimates .
Let's start with a clear and concise description of the problem of successfully managing projects in the presence of uncertainty: Accurate software cost and schedule estimations are essential for non-trivial software projects. As a software project progresses, more information about the project is known.
Of late, Cone of Uncertainty has become the mantra of No Estimates advocates claiming that data is needed BEFORE the Cone is of any use. This fallacy comes from a collection of data that did not follow the needed and planned reduction of uncertainty for the cost estimates of a set of software development projects. .
Then conjecture that NOT estimating will fix that symptom. Then conjecturing (here) that Not Estimating will somehow, through some unstated process of correction or prevention, fix the problem of when you are DSTOP. TO DO in Rally, Remaining Estimate in Jira, and other fields in Team Foundation Server and VersionOne. Not likely.
Estimating is a learned skill, used for any purpose from every-day life to management of projects. When I left for the airport this morning to catch my flight to a customer site I estimated, given the conditions, how much time I need to get to my favorite parking spot at DIA. So when you hear we can't estimate you'll know better.
This blog page is dedicated to the resources used to estimatesoftware-intensive systems using traditional and agile development methods. Cost Modeling Agile Software Development,” Maarit Laanti and Petri Kettunen, International Transactions on Systems and Applications, Volume 1 Number 2, pp. Performance Evaluation of non?Markovian
requires making estimates) ? This blog page is dedicated to the resources used to assess risks, their impacts, and handling strategies for software-intensive systems using traditional and agile development methods. IEEE Transactions on SoftwareEngineering , Vol. SoftwareEngineering Institute, January 1996.
requires making estimates) ? Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, SoftwareEngineering Institute, June 1993. IEEE Transactions on SoftwareEngineering , Vol. SoftwareEngineering Institute, January 1996.
So here are some books, handbooks, and guides that sit on my shelf that are used pretty much all the time on the Software Intensive System of Systems we work on. But when some statement is made about risk, estimating, performance modeling, or the like - always ask for references. I'm not expecting anyone to read all these books.
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