(If you did not obtain a white spitter ticket, or have lost it, push the intercom button to be connected to a parking attendant.) Upon your return, proceed to the self-checkout lane and enter the white ticket into the kiosk first, then the green ticket. Please note: When picking up or dropping off a passenger please do so on Albert Street. U-turns are not allowed.Īt the corner of S. Please note, Michigan Flyer may have limited service to the Blake Transit Center during special events 5th Avenue and William Street, across from the Ann Arbor Library. Including marathons, festivals and the U of M home football games. See our booking feature to check availability for these days. Upon entering the ramp with your vehicle, obtain a ticket from the machine.In order to receive the discounted $2/day AirRide rate, you must do the following: (Less than 24 hours of parking does not qualify for the $2.00 per day rate) Michigan Flyer-AirRide parking is available for $2 per day in the parking structure at the corner of 4th Avenue and William Street. Our goal in this project is to create a code coverage tool that can help developers with unit testing. This poses a problem to the development and QA team to know how many lines of code are being covered by their unit tests and where certain failures are occuring, so as to prevent bug escapes which bring down the quality of the product.Īs a software product expands and becomes more complex with the addition of features and functionality, the chances of bugs and defects being introduced in the software increases.And point out lines of code which were not covered during the unit test.Locate the most likely lines which caused any of the unit tests to fail using our python implementation of Tarantula.Our system will help python developers do the following.We want to make a tool like Tarantula ( a fault localization tool that is designed and available for Ruby) in Python.The former problem can be resolved by Code Coverage while the latter one by Fault Localization.*Problem 1: How much of my code is actally tested ? Use Code Coverage. The Wikipedia definition of code coverage is "In computer science, code coverage is a measure used to describe the degree to which the source code of a program is tested by a particular test suite. Function coverage, Statement coverage, Branch coverage and Condition coverage A program with high code coverage has been more thoroughly tested and has a lower chance of containing software bugs than a program with low code coverage."įinding out the coverage that a test suite/test case gives is very beneficial for a developer she can find out which functions have not been tested, what conditions have not been tested very easily.Ĭode coverage can be of varying granularity for eg.Function coverage: Has each function been covered ?.Statement coverage: Has each statement been covered ?.Branch coverage: Has each branch been covered (eg.Condition coverage: Has each condition in a conditional block been tested (eg.in if a=5 or b = 6, both conditions for a as well as b should be tested)? The complexity becomes higher from the start to the end of the above list. Most of the tools we refered are based on Branch coverage (with the exception of Coverage.py which also has a branch coverage mode). In our project, we are using coverage.py and figleaf.py, two Python libraries for code coverage. *Problem 2: What caused my test cases to fail ? Use Fault Localization.įault localization is a process to find the location of faults. It determines the root cause of the failure. It identifies the causes of abnormal behaviour of a faulty program. (This definition has been taken from the paper "Fault Localization for Java Programs Using Probabilistic Program Dependence Graph" ) It identifies exactly where the bugs are. #FIGLEAF SOFTWARE REVIEWS CODE#ĭevelopers need to know where certain unit tests fail in an efficient way and what pieces of the code are not being covered by the existing unit tests.Tarantula is a tool developed in Ruby which performs fault localization. The closest tool to what we our doing is Tarantula. Other related work in this field includes the work of Max Planck Institute, Bug-Assist, which is an error localization tool for ANSI-C. Suspiciousness(e) = (failed(e)/total failed) / ((passed(e)/total passed)+(failed(e)/total failed)) Tarantula calculates the "suspiciousness" of a line based on the formula : Hawk-eye is another similar tool for Java and uses the Tarantula formula alongwith Ochiai formula to calculate suspiciousness of each statement. Where 'e' denotes the line being checked. Suspiciousness values and their meanings: The suspiciousness value is a value between 0 and 1 for those lines that have been executed and -1 for those that have not.
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