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I am developing a SQL app -- bunch of procs and tables called from an SSIS package. &nbsp;I do not have much experience in QA. &nbsp;The guy doing the QA is using a method I am just not too confident about and feel it is causing some issues.<br />
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He is passing one or two rows though the app at a time, testing one scenario, then the next, then reporting a bug if it doesn't work. &nbsp;He sends me the bug, I fix it then he runs another record or two through, never resubmitting a scenario once the bug is fixed.<br />
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This seems like a real whack a mole method, since changes I make for Row5 could impact Row1. &nbsp;The way I unit test is I create a data set, 50 rows or something, based on the business req &nbsp;- I try to beat it up, &nbsp;run every possible variation and combination I can think of. &nbsp;The results are my baseline. &nbsp;Every time I make a change I run the same data set, compare it to the baseline.<br />
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Any thoughts? &nbsp;I'm a dev, I get bugs from QA, never watched the process. &nbsp;Thanks!
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I am developing a SQL app -- bunch of procs and tables called from an SSIS package.  I do not have much experience in QA.  The guy doing the QA is using a method I am just not too confident about and feel it is causing some issues.

He is passing one or two rows though the app at a time, testing one scenario, then the next, then reporting a bug if it doesn't work.  He sends me the bug, I fix it then he runs another record or two through, never resubmitting a scenario once the bug is fixed.

This seems like a real whack a mole method, since changes I make for Row5 could impact Row1.  The way I unit test is I create a data set, 50 rows or something, based on the business req  - I try to beat it up,  run every possible variation and combination I can think of.  The results are my baseline.  Every time I make a change I run the same data set, compare it to the baseline.

Any thoughts?  I'm a dev, I get bugs from QA, never watched the process.  Thanks!

How to QA a SQL application

Microsoft SQL Server 2008 is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning. Major improvements include the  Always On technologies and support for unstructured data types.

Microsoft SQL Server 2008

Microsoft SQL Server is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.SQL Server is available in multiple versions, typically identified by release year, and versions are subdivided into editions to distinguish between product functionality. Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning.

Microsoft SQL Server

SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a fast and flexible data warehousing tool used for data extraction, transformation, and loading (ETL). The tool may also be used to automate maintenance of SQL Server databases and updates to multidimensional cube data. SSIS replaced Data Transformation Services, which had been a feature of SQL Server since Version 7.0.