PPT-Approximate Transformations as Mutation Operators

Author : hailey | Published Date : 2022-06-18

Farah Hariri August Shi Owolabi Legunsen Milos Gligoric Sarfraz Khurshid Sasa M isailovic ICST18 Västerås Sweden

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Approximate Transformations as Mutation Operators: Transcript

Farah Hariri August Shi Owolabi Legunsen Milos Gligoric Sarfraz Khurshid Sasa M isailovic ICST18 Västerås Sweden. a 12 22 a a mn is an arbitrary matrix Rescaling The simplest types of linear transformations are rescaling maps Consider the map on corresponding to the matrix 2 0 0 3 That is 7 2 0 0 3 00 brPage 2br Shears The next simplest type of linear transfo Chapter 3. GA Quick Overview. Developed: USA in the 1970’s. Early names: J. Holland, K. DeJong, D. Goldberg. Typically applied to:. discrete optimization. Attributed features:. not too fast. good heuristic for combinatorial problems. Table2:TheFiveMutantOperatorClassesandtheSpecicMutationOperatorstheyContain Mutation Description Specicmutationoperators Numberof operatorclass operators ABS AbsoluteValueInsertion f(e;abs(e));(e;-a Please read specification of Project1 which has been posted at the course website (to be discussed on Thursday). Student Questions Session (E-mail 1 question or questions to Dr. . Eick. no later than Feb. 7). David Pryor. Mutation-Based Testing. Same basic goal as Code Coverage. Evaluate the tests. Determine “how much” code exercised. Mutation testing goes beyond checking which lines of code were executed. Sasa . Misailovic. MIT CSAIL. Collaborators. Martin . Rinard. , Michael . Carbin. , . Stelios. . Sidiroglou. , Henry Hoffmann, . Deokhwan. Kim, Fan Long, Daniel Roy, . Zeyuan. Allen Zhu, Michael Kling, . Milos Gligoric. 1. , Sarfraz Khurshid. 1. , Sasa Misailovic. 2. , . August Shi. 2. ICSE NIER 2017. Buenos Aires, . Argentina. May 24, 2017. 1. CCF-1409423, CCF-1421503,. CCF-1566363, CCF-1629431,. CCF-1319688, CNS-1239498. Operator. . Meaning. Example. Definition. .. Addition. x = 6 2;. Add the values on either side of . -. Subtraction. x = 6 - 2;. Subtract right value from left value. *. Multiplication. x = 6 * 2;. Alex Groce, Josie Holmes, Darko Marinov,. August Shi. , Lingming Zhang. ICSE Demo 2018. Gothenburg, Sweden. May 30, 2018. CCF-1409423. CCF-1421503. CCF-1566589. Mutation Testing. Goal: . E. valuate the quality of test suites. Milos Gligoric. 1. , Sarfraz Khurshid. 1. , Sasa Misailovic. 2. , . August Shi. 2. ICSE NIER 2017. Buenos Aires, . Argentina. May 24, 2017. 1. CCF-1409423, CCF-1421503,. CCF-1566363, CCF-1629431,. CCF-1319688, CNS-1239498. Testing. CS 4501 / 6501 . Software Testing. [. Ammann. and Offutt, “Introduction to Software Testing,” Ch. 9.2]. Applying Syntax-Based Testing to Programs. Test requirements are derived from the syntax of software artifacts. John A. Clark, . Haitao. Dan, Robert M Hierons. An example: cruise control. Question. What happens in . no_vehicle_in_front. if brake and level=increase?. Another question. What happens in . no_vehicle_in_front. GA Quick Overview. Developed: USA in the 1970’s. Early names: J. Holland, K. DeJong, D. Goldberg. Typically applied to:. discrete optimization. Attributed features:. not too fast. good heuristic for combinatorial problems. ODU. Reading for Next Class:. Chapter 3, Russell and . Norvig. Applications of Genetic . Algorithms. Special thanks to Dr. . Yaohang. Li for contributing the slides. Review. Last Class. Introduction to Genetic Algorithm.

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