Usually, Test Lead prepares Test Plan and Testers involve in the process of preparing test plan document. Once the test plan is well prepared, then the testers write test scenarios and test cases based on test plan document.

We are going to present the Test Plan Document as per IEEE Standards. This section is to specify all the list of documents that support the test plan which you are currently creating. Example: SRS System Requirement Specification , Use Case Documents, Test Strategy, Project Plan, Project Guidelines etc.

Example: Payment using PayPal features is above to remove from the application. There is no need to test this feature. The overall strategy of how testing will be performed. It contains details such as Methodology, Test types, Test techniques etc. In this section, we specify the criteria that will be used to determine pass or fail percentage of test items.

Example: If any of the major functionalities are not functional or system experiences login issues then testing should suspend. List of documents need to be delivered at each phase of testing life cycle. The list of all test artifacts.

In this section, we specify the list of testing tasks we need to complete in the current project. Example: Test environment should be ready prior to test execution phase. Test summary report needs to be prepared.

Example: Test plan should be prepared by Test Lead. Preparation and execution of tests should be carried out by testers. Plan training course to improve the skills of resources in the project to achieve the desired goals. use the Extra Proficiency Sample Program XPS for training of technicians, testing or equipment verification, inter-laboratory studies, and for addressing accreditation issues related to proficiency sample testing.

Sample Types Soil Classification and Compaction SOL Soil Resistance R-Value RVL Soil California Bearing Ratio CBR Aggregate Gradation and Gravity AGG Aggregate Degradation AGD Viscosity Graded Asphalt Cement BAC Performance Graded Asphalt Binder PGB Slurry and Micro-Surfacing Systems SMS Unmodified Emulsified Asphalt EML Polymer-Modified Emulsified Asphalt PME Asphalt Mixture Solvent Extraction HMS Asphalt Mixture Gyratory Design HMG Asphalt Mixture Marshall Design MAR Asphalt Mixture Hveem Design - California Kneading Compaction HCA Asphalt Mixture Hveem Design - Gyratory Shear Compaction HTX Asphalt Mixture Hveem Design - 4-in Superpave Gyratory Compaction HCO Asphalt Mixture Ignition Oven HMI Traffic Paint PNT Testing can be performed in accordance with AASHTO, ASTM, or designated standard test methods.

Participating laboratories have approximately six weeks to conduct the testing on the samples. When testing is complete, laboratories submit their testing results on-line. Throughout the process, laboratories receive notifications of upcoming shipments, deadlines, and other important information.

Reports and Charts A final report of the testing analysis is issued approximately two weeks after each testing deadline. Specific trends may be uncovered by analyzing the performance charts, allowing an opportunity for corrective action before major issues arise.

Production Process Sample preparation and production times vary from days to months. Raw materials are received from suppliers and are then sieved, blended, or batched using monitored processes ensuring a high level of sample uniformity.

Samples are distributed to participants annually, with a pair of samples provided each time. Viscosity graded asphalt cement and performance graded asphalt binder samples are distributed semi-annually. In this book, we emphasize the difference between these two uses of input-output pairs in programming because we find them extremely useful both professionally and pedagogically.

We have already seen this in the case of raises tests Computing Genetic Parents from an Ancestry Table. For example, consider these tests for distance-to-origin :.

check: distance-to-origin point 1, 1 is??? What can we check here? Typing this into the REPL, we can find that the answer prints as 1.

If we can check that the answer to distance-to-origin point 1, 1 is around, say, 1. Testing for inexact results is a necessary task. The is form now helps us out. There is special syntax for supplying a user-defined function to use to compare the two values, instead of just checking if they are equal:.

Normally, it would compare the left and right values for equality. If the provided function produces true , the test passes, if it produces false , the test fails. This gives us the control we need to test functions with predictable approximate results.

Extend the definition of distance-to-origin to include polar points. This might save you a Google search: polar conversions. Use the design recipe to write x-component and y-component , which return the x and y Cartesian parts of the point which you would need, for example, if you were plotting them on a graph.

Write a data definition called Pay for pay types that includes both hourly employees, whose pay type includes an hourly rate, and salaried employees, whose pay type includes a total salary for the year.

We run the program, and find that a test fails. There are two obvious reasons why this can happen. sqrt 4 is 2. Note that there is no way for the computer to tell what went wrong. That is a matter for human judgment. not so fast. Return to this test: sqrt 4 is 2. Now -2 is a perfectly good answer, too.

The question now is how to write the test properly. In other words, sometimes what we want to express is not a concrete input-output pair, but rather check that the output has the right relationship to the input.

Concretely, what might this be in the case of sqrt? We hinted at this earlier when we said that 1. check: is-sqrt 4 is true end.