Scrum.org
AUGUST 25, 2022
It is very similar to work engagement (Schaufeli & Salanova, 2014), which we also measure in both the Scrum Team Survey and TeamMetrics (as “team morale”). al, 2013), healthcare professionals (Papathanasiou et. 2013), and in the workplace (Manganelli, Thibault-Landry & Forest, 2018). In Achieving Quality in Software (pp.
Scrum.org
OCTOBER 19, 2022
Many studies have identified high autonomy as an important prerequisite for Agile teams ( Moe, Dingsøyr & Dybå, 2010 ; Donmez & Gudela, 2013 ; Tripp & Armstrong, 2018 ; Melo et. 2014 ; Young & Jordan, 2008 ; Russo, 2021 ). A survey study of critical success factors in agile software projects. 2013, June). Cruzes, D.
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Herding Cats
MARCH 11, 2018
Take for example the deployment of an ERP system, the installation, and startup of a process control system, the release of a suite of embedded software controllers for a car, aircraft, petrochemical plant. A recent survey of 600 firms indicated that 35% of them had at least one "runaway' software project. Now To Risk Management.
Herding Cats
NOVEMBER 7, 2016
“Believing is Seeing: Confirmation Bias Studies in Software Engineering, “Magne Jørgensen and Efi Papatheocharous, 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA). The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty,” Magne Jørgensen, Software Quality Days. “The
Herding Cats
MAY 7, 2019
Effort Distribution to Estimate Cost in Small to Medium Software Development Project with Use Case Points,” Putu Linda Primandari and Sholiq, The Third Information Systems International Conference, Procedia Computer Science, 72, pp. Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B.
Scrum.org
AUGUST 17, 2020
Survival bias happens when failures are ignored when you are evaluating if a process or decision is the right one (Schermer, 2014). This is a significant problem with popular business books, like “ Good to Great ” and stories about successful CEO’s, that only focus on the successes but ignore the failures (Schermer, 2014). Liersch, M.
Herding Cats
OCTOBER 24, 2018
But before going further, let's establish the definitions we need to understand and apply Root Cause Analysis needed to discover the corrective and preventive actions to increase the probability of project success - especially Software Project Success. Daniels, Complex Adaptive Systems, Procedia Computer Science, 20 (2013), pp.
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