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Thoughtworks. Thoughtworks is a publicly-traded, global technology company with 49 offices in 18 countries. [5] It provides software design and delivery, and tools and consulting services. The company is closely associated with the movement for agile software development, and has contributed to open source products.
Twist is a test automation and functional testing solution built by Thoughtworks Studios, the software division of ThoughtWorks. It uses Behavior Driven Development (BDD) and Test-driven development (TDD) [2] for functional testing of the application. [3] It is a part of the Adaptive ALM solution [4] consisting of Twist for Agile testing by ...
Extreme programming ( XP) is a software development methodology intended to improve software quality and responsiveness to changing customer requirements. As a type of agile software development, [1] [2] [3] it advocates frequent releases in short development cycles, intended to improve productivity and introduce checkpoints at which new ...
In mathematics, economics, and computer science, the stable marriage problem (also stable matching problem) is the problem of finding a stable matching between two equally sized sets of elements given an ordering of preferences for each element. A matching is a bijection from the elements of one set to the elements of the other set.
Hints About Today's NYT Connections Categories on Monday, July 1. 1. What a leader or tour guide might do 2. A certain type of shady operation 3. Related to a particular form of money 4. They're ...
In 2001, ThoughtWorks agreed to settle a lawsuit by Microsoft for $480,000 for deploying unlicensed copies of office productivity software to employees. [4] Also in 2001, Fowler, Jim Highsmith, and other key software figures authored the Agile Manifesto.
Stable roommates problem. In mathematics, economics and computer science, particularly in the fields of combinatorics, game theory and algorithms, the stable-roommate problem ( SRP) is the problem of finding a stable matching for an even-sized set. A matching is a separation of the set into disjoint pairs ("roommates").
Although there are other techniques such as Kahan summation that typically have even smaller round-off errors, pairwise summation is nearly as good (differing only by a logarithmic factor) while having much lower computational cost—it can be implemented so as to have nearly the same cost (and exactly the same number of arithmetic operations ...