You’ll learn the importance of the following for software estimation: using historical data, keeping "control knobs" to a minimum, the difference between accuracy and precision, the difference between reported and actual ground truth, and the absolute necessity of closing the loop and judging your forecasts’ accuracy and effectiveness. In this episode, host Mark Griffin and Steve explore what Steve has learned from his modeling efforts and the lessons learned that are valuable for the software world. Steve’s Covid Complete Data Center provides US national data, state data for every state, state scorecards, forecasts, forecast evaluations, and other data on the pandemic: His Covid Complete forecasting model has been accepted into the US Center for Disease Control’s “Ensemble” model, which means that it is one of the models driving overall CDC forecasting. Datasets available include LCSH, BIBFRAME, LC Name Authorities, LC Classification, MARC codes, PREMIS vocabularies, ISO language codes, and more.
This includes data values and the controlled vocabularies that house them. He moved into the sales side of software because he wanted to spread the value of what his company was building. It was supposed to be a one-year assignment that turned into the second half of his career. His balance of deeply technical skills and right-brain artistry also makes him a masterful home brewer!įor the past year, Steve McConnell has applied his extensive estimation expertise to a timely problem: Covid-19 forecasting. The Linked Data Service provides access to commonly found standards and vocabularies promulgated by the Library of Congress. Host Mark Griffin spent the first half of his career as an electrical engineer doing silicon hardware design and leading software automation teams. Software experts first and software trainers and consultants second, our team has seen what works and doesn’t work in hundreds of software organizations. These details provide an accurate picture of your company’s projected month-by-month financial liquidity. Sections include beginning and ending cash balances, cash sources, cash uses, and cash changes during the month.
#ITUNES BALANCE FORECASTING CODE#
Join us as we describe time-tested, industry-proven software best practices at the team, organization, and leadership levels, sharing examples from recent engagements with software teams of all sizes.Ĭonstrux is led by industry leader Steve McConnell, author of Code Complete and More Effective Agile. This simple cash flow forecast template provides a scannable view of your company’s projected cash flow. World-class software development requires far more than language/platform expertise and steady sprints.
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