Evidence-based Scheduling
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Evidence-based Scheduling
Evidence-based scheduling is a software estimation approach created by Joel Spolsky, a commentator on software engineering principles. Evidence-based Scheduling is based on at least two core ideas: including all time spent, and using a Monte Carlo completion date prediction method. Evidence-based scheduling is an example of an evidence-based practice. Including all time spent One of the core ideas of evidence-based scheduling, that adds to the normal estimation practices, is the idea of including all time spent, regardless of relevance. Most people, when estimating, measure the time they actually spend on a project – classic Time Accounting categories such as cited in McConnell's ''Software Project Survival Guide'' do not allow for accounting for non-project activities. While McConnell goes on to include less obvious activities such as holidays, sick days and project support, he and most others identify such as activities to be separately recorded. However, recording and att ...
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Software Estimation
Cost estimation in software engineering is typically concerned with the financial spend on the effort to develop and test the software, this can also include requirements review, maintenance, training, managing and buying extra equipment, servers and software. Many methods have been developed for estimating software costs for a given project. Methods Methods for estimation in software engineering include these principles: * Analysis effort method * Parametric Estimating * The Planning Game (from Extreme Programming) * ITK method, also known as Method CETIN * Proxy-based estimating (PROBE) (from the Personal Software Process) *Program Evaluation and Review Technique (PERT) *Putnam model, also known as SLIM *PRICE Systems Founders of Commercial Parametric models that estimates the scope, cost, effort and schedule for software projects. *SEER-SEM Parametric Estimation of Effort, Schedule, Cost, Risk. Minimum time and staffing concepts based on Brooks's law * The Use Case Points m ...
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Joel Spolsky
Avram Joel Spolsky (; born 1965) is a software engineer and writer. He is the author of ''Joel on Software'', a blog on software development, and the creator of the project management software Trello. He was a Program Manager on the Microsoft Excel team between 1991 and 1994. He later founded Fog Creek Software in 2000 and launched the ''Joel on Software'' blog. In 2008, he launched the Stack Overflow programmer Q&A site in collaboration with Jeff Atwood. Using the Stack Exchange software product which powers Stack Overflow, the Stack Exchange Network now hosts over 170 Q&A sites. Biography Spolsky was born to Jewish parents and grew up in Albuquerque, New Mexico, and lived there until he was 15. His family then moved with him to Israel, where he attended high school and completed his military service in the Paratroopers Brigade. He was one of the founders of the kibbutz Hanaton in Lower Galilee. In 1987, he returned to the United States to attend college. He studied at the Un ...
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Evidence-based Practice
Evidence-based practice is the idea that occupational practices ought to be based on scientific evidence. The movement towards evidence-based practices attempts to encourage and, in some instances, require professionals and other decision-makers to pay more attention to evidence to inform their decision-making. The goal of evidence-based practice is to eliminate unsound or outdated practices in favor of more-effective ones by shifting the basis for decision making from tradition, intuition, and unsystematic experience to firmly grounded scientific research. The proposal has been controversial, with some arguing that results may not specialize to individuals as well as traditional practices. Evidence-based practices have been gaining ground since the formal introduction of evidence-based medicine in 1992 and have spread to the allied health professions, evidence-based education, education, evidence-based management, management, evidence-based legislation, law, evidence-based policy ...
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Monte Carlo Method
Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. The name comes from the Monte Carlo Casino in Monaco, where the primary developer of the method, mathematician Stanisław Ulam, was inspired by his uncle's gambling habits. Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws from a probability distribution. They can also be used to model phenomena with significant uncertainty in inputs, such as calculating the risk of a nuclear power plant failure. Monte Carlo methods are often implemented using computer simulations, and they can provide approximate solutions to problems that are otherwise intractable or too complex to analyze mathematically. Monte Carlo methods are widely used in va ...
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Software Engineering Costs
Software consists of computer programs that instruct the execution of a computer. Software also includes design documents and specifications. The history of software is closely tied to the development of digital computers in the mid-20th century. Early programs were written in the machine language specific to the hardware. The introduction of high-level programming languages in 1958 allowed for more human-readable instructions, making software development easier and more portable across different computer architectures. Software in a programming language is run through a compiler or interpreter to execute on the architecture's hardware. Over time, software has become complex, owing to developments in networking, operating systems, and databases. Software can generally be categorized into two main types: # operating systems, which manage hardware resources and provide services for applications # application software, which performs specific tasks for users The rise of cloud ...
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