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Pair Programming

Learn about pair programming benefits and unit testing practices to improve code quality and collaboration in software development projects.

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Pair Programming

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  1. Pair Programming Presented by Michael Welker Members 1st Federal Credit Union

  2. Little bit about myself: • Worked at Members 1st Federal Credit Union for 27 years. • Platforms I’ve worked on: • HP Unix Systems • HP MPE/MPEX • IBM Unix Systems • Positions I’ve held: • Computer Operator • Checks Processor • PC Technician and Network Administrator • Programmer Analyst

  3. What is pair programming? • Two developers working side by at one computer. • One developer writes the code, the other is giving suggestions/collaborates. • Driver • Navigator

  4. Why Pair Programming? • Increased discipline • Better code • Better approaches/directions • Improved morale • Collective code ownership • Mentoring • Team cohesion • Fewer interruptions 4

  5. Increased discipline • Pairing partners are more likely to "do the right thing" and are less likely to take long breaks. 5

  6. Better code • Pairing partners are less likely to go down Gopher Holes and Blind Alleys and tend to come up with higher quality designs. • Code reviews are done during coding sessions between the pair. • Less help desk tickets and more maintainable code. • “ I will not write any more bad code.” 6

  7. Better approaches/directions • Working in pairs leads to different thinking that leads to better approaches when creating code. 7

  8. Improved morale • Pair programming, done well, is much more enjoyable than programming. On the other hand, pair programming done poorly is much less enjoyable than programming alone done poorly. 8

  9. Collective code ownership • When everyone on a project is pair programming, and pairs rotate frequently, everybody gains a working knowledge of the entire codebase. 9

  10. Mentoring • Everyone, even junior programmers, has knowledge that others don't. Pair programming is a painless way of spreading that knowledge. 10

  11. Team cohesion • People get to know each other more quickly when pair programming. Pair programming may encourage team jelling. 11

  12. Fewer interruptions • People are more reluctant to interrupt a pair than they are to interrupt someone working alone. 12

  13. How we applied the concept • Large Online Banking program that needed to be re-written that gathers account, share, loan and Visa information: • Designed the program for unit testing. • Eliminated repetitive code. • Removed technical debt. 13

  14. End result • Re-usable code/procedures that were placed into their own library • Code review(s) conducted as the code is being written • Getting to know your colleague and how they think • Less bugs • Transfer of domain knowledge (business logic) 14

  15. Questions? 15

  16. References • Books • Beyond Legacy Code – David Scott Bernstein Internet http://wiki.c2.com/?PairProgrammingBenefits 16

  17. Unit Testing with PowerOn Presented by Dan Wolf Members 1st Federal Credit Union

  18. Who am I? • Programmer Analyst at Members 1st FCU • 35 years software development • Retail • Logistics/Order Fulfillment • Education • Government • Insurance • Communications • Platforms • IBM AS/400 and Microsoft .NET • Oracle and SQL Server 18

  19. Definitions • Program – a specfile or repgen • Include Library – a set of related include files (.DEF, .SET, .PRO) where the .PRO contains procedures used by different programs • Constants Include File – a .DEF file containing named constants for values of various Episys fields, used by different programs 19

  20. Who does unit testing? This is not a new concept, many platforms have unit testing integrated into their development tools, languages, and methodologies. • Java – JUnit • .NET – Live Unit Testing (Visual Studio 2017) • JavaScript – Jasmine Unit Test Framework • PowerOn - ? (nope) 20

  21. What is a unit test? First of all, what it is NOT: • It is not system testing • It is not integration testing • It is not QA testing Okay, so, what is a unit test? 21

  22. What is a unit test? • A unit test verifies a specific behavior of a unit of code in a program • Every branch condition is tested, every possible result is considered • one unit test covers the “true” • another unit test covers the “false” • The testresult is compared with the expected result • Unit Testing is running multiple unit tests for a program • Detailed feedback is given for which test failed and why 22

  23. Practical Thinking • We, as developers, (should) test our code as we write it • Unit testing is a way to replicate these tests in such a way that they are performed in an automated fashion for the life of the program • Basically, in the PowerOn world, a procedure is the unit of code to be unit tested • Procedures need to be small and single-purpose • Procedures take input, do work, and produce output • A unit test supplies the input, calls the procedure, and checks the output 23

  24. Anatomy of a unit test • Arrangement • Assign values to variables with the intent to cause an expected result • Assign the expected result to a variable for comparison • Act • Call the procedure to be tested • Assert • Compare the test result with the expected result • Record the results of the test 24

  25. Example of a PowerOn Unit Test procedureTestAccountListBeginsWithComma testName="TestAccountListBeginsWithComma" procedureName="ParseAccountList" [Arrangement] parmAccountList=",0000123456,0000234567" expectedCharResult="The account list begins with a comma" [Act] callParseAccountList actualCharResult=errorMessage [Assert] ifactualCharResult=expectedCharResultthendo passFail="Pass" endelsedo passFail="Fail" end [Report] printActualResult=actualCharResult printExpectedResult=expectedCharResult callPrintTestResults end[TestAccountListBeginsWithComma] 25

  26. When do unit tests run? Unit tests (should) run often • Can be automated to run during certain events (“continuous Integration”) • As code is written* • When code is saved* • When code is checked-in/merged* • When code is staged/deployed • When a SYM is refreshed, brought online • Can be scheduled • Can be run manually as needed 26

  27. Where Do We Begin?(Questions, questions, questions…) • What can be unit tested? What should be unit tested? • Where will we realize the most benefits for the required effort? • How will we write and implement unit tests? • What obstacles must we overcome? • How, when, and where do we run unit tests? • How do we communicate unit test results? 27

  28. What Should Be Unit Tested? • SymConnect programswhich serve Episys data to critical, member-facing apps • Include Librariesused by multiple PowerOn programs • Constants Include Files used by multiple PowerOn programs • Validate programs (future) • Important or complex calculations • The list goes on . . . you decide and prioritize what is important to you! 28

  29. PowerOn Unit Testing FRAMEWORK We built a framework to assist in performing unit tests in PowerOn, consisting of: • A unit test template program • Provides the basic Arrange-Act-Assert structure for individual unit tests • Executes several unit tests to provide coverage for a program • Records the results of the unit tests • An include library to support common unit test tasks • Variable definitions used for testing, reporting, etc. • Logging and reporting results in a consistent, pre-defined format • Sending notifications 29

  30. PowerOn Unit Testing FRAMEWORK Other components in the framework: • A “controller” job to run unit test programs • A program to scan test results and send notifications • A way to customize how unit testing runs in different environments 30

  31. More Details • Each program or library to be unit tested has a dedicated unit test program • Procedures to be tested are put into a separate .PRO file so they can be used by the main program and used by the unit test program • Where possible, separate data access from business logic so business logic can be unit tested • Store unit test results in a letter file. Crude, but it works. 31

  32. In Summary, Why Unit Test? • Ensures code behaves as expected • Identifies logic errors before they become unwelcome surprises • Helps ensure other programs sharing the same code will not unexpectedly fail • Contributes towards producing better organized, easier to maintain, higher quality code Reliable applications = Happier members Happier members = Happier associates Happier associates = Happier IT staff Extra work and planning? Yes. Worth the effort? We think so. 32

  33. Questions? 33

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