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  • Unit Testing XQuery

    - by toddk
    I've been working with a document repository using XQuery (via Java and .NET interfaces) and was wondering if anyone has any recommendations for unit testing XQuery modules?

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  • Software testing terminology

    - by shiouming
    Let say I have written a small program that reads file_A and file_B as input data of test_case_A and test_case_B, passes the input to component_X which needs to be test, then verifies result against predefined expectation. That component_X could be in the same process, or different process on another machine. I try to learn more about testing, but confused by various terms. Take above scenario as example, which of them is fixture/mock/harness/stub? Thanks.

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  • UI Testing Tool on linux

    - by Hulk
    Looking for a tool to UI testing on Linux .Platform used for development is django. The idea is that the analysts will capture the tests thru some UI and it will be able to be played back over and over again.

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  • Multi language testing framework

    - by santiiiii
    I need to write two versions of the same application, one in .NET and the other one in Java. So I'd like to write a single test suite, and then use it against both codebases. Which testing tool would you advise me to use?

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  • Unit testing with Data Access Layer

    - by chobo
    Hi, what is a good way to write unit tests with a LINQ to SQL DAL? Currently I am doing some database testing and need to create helper methods that access the database, but I don't want those methods in my main repo's. So what I have is two copies of the DAL, one in my main project and one in the Test project. Is it easier to manage these things if I create a separate project for the data layer? I'm not sure which way is a better way to approach this. If I do create a data layer project would I move all my repo's to that project as well? I'm not sure how to properly setup the layers. Thanks

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  • Unit testing http handlers?

    - by MockedMan.Object
    My current project based in Asp .net makes considerable use of Http handlers to process various requests? So, is there any way by which I can test the functionality of each of the handlers using unit test cases? We are using Nunit and Moq framework to facilitate unit testing.

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  • Database Vault integration available

    - by Anthony Shorten
    One of the major features of Oracle Utilities Application Framework V4.1 is the provision of a base solution for integration to the Database Vault product. Database Vault is part of Oracle’s security portfolio of product and allows database user permissions to be locked down to only allow appropriate users appropriate access to the product data. By default, when you install the product database, administrators and SYSDBA users have full DML (SELECT, INSERT, UPDATE and DELETE access) to the schemas they own and in the case of the SYSDBA users, all schemas on the database. This can be perceived as an issue. Database Vault allows an additional layer of security to disable inappropriate access. In Oracle Utilities Application Framework, a prebuilt Database Vault solution has been provided to provide base DML access to product data for product users only. The solution is shipped with the database installation files and includes a set of SQL files to create, disable, enable and delete the Database Vault objects. The solution contains a Database Vault Realm, RuleSets, Rules and Command Rules that can be used as is or extended to meet site specific needs. The solution is consistent with other Database Vault solutions provided for other Oracle applications such as PeopleSoft, E-Business Suite, JD-Edwards and Siebel. Customers familiar with the database vault solutions for those products will recognize the similarities between the solutions. For more details of the solution, refer to the Database Vault Integration for Oracle Utilities Application Framework Based Products on My Oracle Support at KB Id: 1290700.1.

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  • Database sharing/versioning

    - by DarkJaff
    Hi everyone, I have a question but I'm not sure of the word to use. My problem: I have an application using a database to stock information. The database can ben in access (local) or in a server (SQL Server or Oracle). We support these 3 kind of database. We want to give the possibility to the user to do what I think we can call versioning. Let me explain : We have a database 1. This is the master. We want to be able to create a database 2 that will be the same thing as database 1 but we can give it to someone else. They each work on each other side, adding, modifying and deleting records on this very complex database. After that, we want the database 1 to include the change from database 2, but with the possibility to dismiss some of the change. For you information, ou application is already multiuser so why don't we just use this multi-user and forget about this versionning? It's because sometimes, we need to give a copy of the database to another company on another site and they can't connect on our server. They work on their side and then, we want to merge. Is there anyone here with experience with this type of requirement? We have a lot of ideas but most of them require a LOT of work, massive modification to the database or to the existing queries. This is a 2 millions and growing C++ app, so rewriting it is not possible! Thanks for any ideas that you may give us! J-F

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  • How can I make hundreds of simultaneously running processes communicate with a database through one

    - by Olfan
    Long speech short: How can I make hundreds of simultaneously running processes communicate with a database through one or few permanent sessions? The whole story: I once built a number crunching engine that handles vast amounts of large data files by forking off one child after another giving each a small number of files to work on. File locking, progress monitoring and result propagation happen in an Oracle database which all (sub-)processes access at various times using an application-specific module which encapsulates DBI. This worked well at first, but now with higher volumes of input data, the number of database sessions (one per child, and they can be very short-lived) constantly being opened and closed is becoming an issue. I now want to centralise database access so that there are only one or few fixed database sessions which handle all database access for all the (sub-)processes. The presence of the database abstraction module should make the changes easy because the function calls in the worker instances can stay the same. My problem is that I cannot think of a suitable way to enhance said module in order to establish communication between all the processes and the database connector(s). I thought of message queueing, but couldn't come up with a way of connecting a large herd of requestors with one or few database connectors in a way so that bidirectional communication is possible (for collecting the query result). An asynchronous approach could help here in that all requests are written to the same queue and the database connector servicing the request will "call back" to submit the result. But my mind fails me in generating an image clear enough so that I can paint into code. Threading instead of forking might have given me an easier start, but this would now require massive changes to the code base that I'm not prepared to do to a live system. The more I think of it, the more the base idea looks like a pre-forked web server to me only that it doesn't serve web pages but database queries. Any ideas on what to dig into, and where? Sample (pseudo) code to inspire me, links to possibly related articles, ready solutions on CPAN maybe?

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  • Oracle’s New Memory-Optimized x86 Servers: Getting the Most Out of Oracle Database In-Memory

    - by Josh Rosen, x86 Product Manager-Oracle
    With the launch of Oracle Database In-Memory, it is now possible to perform real-time analytics operations on your business data as it exists at that moment – in the DRAM of the server – and immediately return completely current and consistent data. The Oracle Database In-Memory option dramatically accelerates the performance of analytics queries by storing data in a highly optimized columnar in-memory format.  This is a truly exciting advance in database technology.As Larry Ellison mentioned in his recent webcast about Oracle Database In-Memory, queries run 100 times faster simply by throwing a switch.  But in order to get the most from the Oracle Database In-Memory option, the underlying server must also be memory-optimized. This week Oracle announced new 4-socket and 8-socket x86 servers, the Sun Server X4-4 and Sun Server X4-8, both of which have been designed specifically for Oracle Database In-Memory.  These new servers use the fastest Intel® Xeon® E7 v2 processors and each subsystem has been designed to be the best for Oracle Database, from the memory, I/O and flash technologies right down to the system firmware.Amongst these subsystems, one of the most important aspects we have optimized with the Sun Server X4-4 and Sun Server X4-8 are their memory subsystems.  The new In-Memory option makes it possible to select which parts of the database should be memory optimized.  You can choose to put a single column or table in memory or, if you can, put the whole database in memory.  The more, the better.  With 3 TB and 6 TB total memory capacity on the Sun Server X4-4 and Sun Server X4-8, respectively, you can memory-optimize more, if not your entire database.   Sun Server X4-8 CMOD with 24 DIMM slots per socket (up to 192 DIMM slots per server) But memory capacity is not the only important factor in selecting the best server platform for Oracle Database In-Memory.  As you put more of your database in memory, a critical performance metric known as memory bandwidth comes into play.  The total memory bandwidth for the server will dictate the rate in which data can be stored and retrieved from memory.  In order to achieve real-time analysis of your data using Oracle Database In-Memory, even under heavy load, the server must be able to handle extreme memory workloads.  With that in mind, the Sun Server X4-8 was designed with the maximum possible memory bandwidth, providing over a terabyte per second of total memory bandwidth.  Likewise, the Sun Server X4-4 also provides extreme memory bandwidth in an even more compact form factor with over half a terabyte per second, providing customers with scalability and choice depending on the size of the database.Beyond the memory subsystem, Oracle’s Sun Server X4-4 and Sun Server X4-8 systems provide other key technologies that enable Oracle Database to run at its best.  The Sun Server X4-4 allows for up 4.8 TB of internal, write-optimized PCIe flash while the Sun Server X4-8 allows for up to 6.4 TB of PCIe flash.  This enables dramatic acceleration of data inserts and updates to Oracle Database.  And with the new elastic computing capability of Oracle’s new x86 servers, server performance can be adapted to your specific Oracle Database workload to ensure that every last bit of processing power is utilized.Because Oracle designs and tests its x86 servers specifically for Oracle workloads, we provide the highest possible performance and reliability when running Oracle Database.  To learn more about Sun Server X4-4 and Sun Server X4-8, you can find more details including data sheets and white papers here. Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software.  He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers. 

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  • Implementing Database Settings Using Policy Based Management

    - by Ashish Kumar Mehta
    Introduction Database Administrators have always had a tough time to ensuring that all the SQL Servers administered by them are configured according to the policies and standards of organization. Using SQL Server’s  Policy Based Management feature DBAs can now manage one or more instances of SQL Server 2008 and check for policy compliance issues. In this article we will utilize Policy Based Management (aka Declarative Management Framework or DMF) feature of SQL Server to implement and verify database settings on all production databases. It is best practice to enforce the below settings on each Production database. However, it can be tedious to go through each database and then check whether the below database settings are implemented across databases. In this article I will explain it to you how to utilize the Policy Based Management Feature of SQL Server 2008 to create a policy to verify these settings on all databases and in cases of non-complaince how to bring them back into complaince. Database setting to enforce on each user database : Auto Close and Auto Shrink Properties of database set to False Auto Create Statistics and Auto Update Statistics set to True Compatibility Level of all the user database set as 100 Page Verify set as CHECKSUM Recovery Model of all user database set to Full Restrict Access set as MULTI_USER Configure a Policy to Verify Database Settings 1. Connect to SQL Server 2008 Instance using SQL Server Management Studio 2. In the Object Explorer, Click on Management > Policy Management and you will be able to see Policies, Conditions & Facets as child nodes 3. Right click Policies and then select New Policy…. from the drop down list as shown in the snippet below to open the  Create New Policy Popup window. 4. In the Create New Policy popup window you need to provide the name of the policy as “Implementing and Verify Database Settings for Production Databases” and then click the drop down list under Check Condition. As highlighted in the snippet below click on the New Condition… option to open up the Create New Condition window. 5. In the Create New Condition popup window you need to provide the name of the condition as “Verify and Change Database Settings”. In the Facet drop down list you need to choose the Facet as Database Options as shown in the snippet below. Under Expression you need to select Field value as @AutoClose and then choose Operator value as ‘ = ‘ and finally choose Value as False. Now that you have successfully added the first field you can now go ahead and add rest of the fields as shown in the snippet below. Once you have successfully added all the above shown fields of Database Options Facet, click OK to save the changes and to return to the parent Create New Policy – Implementing and Verify Database Settings for Production Database windows where you will see that the newly created condition “Verify and Change Database Settings” is selected by default. Continues…

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  • SQL SERVER – Shard No More – An Innovative Look at Distributed Peer-to-peer SQL Database

    - by pinaldave
    There is no doubt that SQL databases play an important role in modern applications. In an ideal world, a single database can handle hundreds of incoming connections from multiple clients and scale to accommodate the related transactions. However the world is not ideal and databases are often a cause of major headaches when applications need to scale to accommodate more connections, transactions, or both. In order to overcome scaling issues, application developers often resort to administrative acrobatics, also known as database sharding. Sharding helps to improve application performance and throughput by splitting the database into two or more shards. Unfortunately, this practice also requires application developers to code transactional consistency into their applications. Getting transactional consistency across multiple SQL database shards can prove to be very difficult. Sharding requires developers to think about things like rollbacks, constraints, and referential integrity across tables within their applications when these types of concerns are best handled by the database. It also makes other common operations such as joins, searches, and memory management very difficult. In short, the very solution implemented to overcome throughput issues becomes a bottleneck in and of itself. What if database sharding was no longer required to scale your application? Let me explain. For the past several months I have been following and writing about NuoDB, a hot new SQL database technology out of Cambridge, MA. NuoDB is officially out of beta and they have recently released their first release candidate so I decided to dig into the database in a little more detail. Their architecture is very interesting and exciting because it completely eliminates the need to shard a database to achieve higher throughput. Each NuoDB database consists of at least three or more processes that enable a single database to run across multiple hosts. These processes include a Broker, a Transaction Engine and a Storage Manager.  Brokers are responsible for connecting client applications to Transaction Engines and maintain a global view of the network to keep track of the multiple Transaction Engines available at any time. Transaction Engines are in-memory processes that client applications connect to for processing SQL transactions. Storage Managers are responsible for persisting data to disk and serving up records to the Transaction Managers if they don’t exist in memory. The secret to NuoDB’s approach to solving the sharding problem is that it is a truly distributed, peer-to-peer, SQL database. Each of its processes can be deployed across multiple hosts. When client applications need to connect to a Transaction Engine, the Broker will automatically route the request to the most available process. Since multiple Transaction Engines and Storage Managers running across multiple host machines represent a single logical database, you never have to resort to sharding to get the throughput your application requires. NuoDB is a new pioneer in the SQL database world. They are making database scalability simple by eliminating the need for acrobatics such as sharding, and they are also making general administration of the database simpler as well.  Their distributed database appears to you as a user like a single SQL Server database.  With their RC1 release they have also provided a web based administrative console that they call NuoConsole. This tool makes it extremely easy to deploy and manage NuoDB processes across one or multiple hosts with the click of a mouse button. See for yourself by downloading NuoDB here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: CodeProject, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology Tagged: NuoDB

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  • Unit testing code which uses Umbraco v4 API

    - by Jason Evans
    I'm trying to write a suite of integration tests, where I have custom code which uses the Umbraco API. The Umbraco database lives in a SQL Server CE 4.0 database (*.sdf file) and I've managed to get that association working fine. My problem looks to be dependancies in the Umbraco code. For example, I would like to create a new user for my tests, so I try: var user = User.MakeNew("developer", "developer", "mypassword", "[email protected]", adminUserType); Now as you can see, I have pass a user type which is an object. I've tried two separate ways to create the user type, both of which fail due to a null object exception: var adminUserType = UserType.GetUserType(1); var adminUserType2 = new UserType(1); The problem is that in each case the UserType code calls it's Cache method which uses the HttpRuntime class, which naturally is null. My question is this: Can someone suggest a way of writing integration tests against Umbraco code? Will I have to end up using a mocking framework such as TypeMock or JustMock?

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  • Use BGInfo to Build a Database of System Information of Your Network Computers

    - by Sysadmin Geek
    One of the more popular tools of the Sysinternals suite among system administrators is BGInfo which tacks real-time system information to your desktop wallpaper when you first login. For obvious reasons, having information such as system memory, available hard drive space and system up time (among others) right in front of you is very convenient when you are managing several systems. A little known feature about this handy utility is the ability to have system information automatically saved to a SQL database or some other data file. With a few minutes of setup work you can easily configure BGInfo to record system information of all your network computers in a centralized storage location. You can then use this data to monitor or report on these systems however you see fit. BGInfo Setup If you are familiar with BGInfo, you can skip this section. However, if you have never used this tool, it takes just a few minutes to setup in order to capture the data you are looking for. When you first open BGInfo, a timer will be counting down in the upper right corner. Click the countdown button to keep the interface up so we can edit the settings. Now edit the information you want to capture from the available fields on the right. Since all the output will be redirected to a central location, don’t worry about configuring the layout or formatting. Configuring the Storage Database BGInfo supports the ability to store information in several database formats: SQL Server Database, Access Database, Excel and Text File. To configure this option, open File > Database. Using a Text File The simplest, and perhaps most practical, option is to store the BGInfo data in a comma separated text file. This format allows for the file to be opened in Excel or imported into a database. To use a text file or any other file system type (Excel or MS Access), simply provide the UNC to the respective file. The account running the task to write to this file will need read/write access to both the share and NTFS file permissions. When using a text file, the only option is to have BGInfo create a new entry each time the capture process is run which will add a new line to the respective CSV text file. Using a SQL Database If you prefer to have the data dropped straight into a SQL Server database, BGInfo support this as well. This requires a bit of additional configuration, but overall it is very easy. The first step is to create a database where the information will be stored. Additionally, you will want to create a user account to fill data into this table (and this table only). For your convenience, this script creates a new database and user account (run this as Administrator on your SQL Server machine): @SET Server=%ComputerName%.@SET Database=BGInfo@SET UserName=BGInfo@SET Password=passwordSQLCMD -S “%Server%” -E -Q “Create Database [%Database%]“SQLCMD -S “%Server%” -E -Q “Create Login [%UserName%] With Password=N’%Password%’, DEFAULT_DATABASE=[%Database%], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF”SQLCMD -S “%Server%” -E -d “%Database%” -Q “Create User [%UserName%] For Login [%UserName%]“SQLCMD -S “%Server%” -E -d “%Database%” -Q “EXEC sp_addrolemember N’db_owner’, N’%UserName%’” Note the SQL user account must have ‘db_owner’ permissions on the database in order for BGInfo to work correctly. This is why you should have a SQL user account specifically for this database. Next, configure BGInfo to connect to this database by clicking on the SQL button. Fill out the connection properties according to your database settings. Select the option of whether or not to only have one entry per computer or keep a history of each system. The data will then be dropped directly into a table named “BGInfoTable” in the respective database.   Configure User Desktop Options While the primary function of BGInfo is to alter the user’s desktop by adding system info as part of the wallpaper, for our use here we want to leave the user’s wallpaper alone so this process runs without altering any of the user’s settings. Click the Desktops button. Configure the Wallpaper modifications to not alter anything.   Preparing the Deployment Now we are all set for deploying the configuration to the individual machines so we can start capturing the system data. If you have not done so already, click the Apply button to create the first entry in your data repository. If all is configured correctly, you should be able to open your data file or database and see the entry for the respective machine. Now click the File > Save As menu option and save the configuration as “BGInfoCapture.bgi”.   Deploying to Client Machines Deployment to the respective client machines is pretty straightforward. No installation is required as you just need to copy the BGInfo.exe and the BGInfoCapture.bgi to each machine and place them in the same directory. Once in place, just run the command: BGInfo.exe BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt Of course, you probably want to schedule the capture process to run on a schedule. This command creates a Scheduled Task to run the capture process at 8 AM every morning and assumes you copied the required files to the root of your C drive: SCHTASKS /Create /SC DAILY /ST 08:00 /TN “System Info” /TR “C:\BGInfo.exe C:\BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt” Adjust as needed, but the end result is the scheduled task command should look something like this:   Download BGInfo from Sysinternals Latest Features How-To Geek ETC How To Create Your Own Custom ASCII Art from Any Image How To Process Camera Raw Without Paying for Adobe Photoshop How Do You Block Annoying Text Message (SMS) Spam? How to Use and Master the Notoriously Difficult Pen Tool in Photoshop HTG Explains: What Are the Differences Between All Those Audio Formats? 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  • Best current framework for unit testing EJB3 / JPA

    - by kennygrimm
    Starting new project using EJB 3 / JPA, mainly stateless session beans and batch jobs. I've used JUnit in the past on standard Java webapps and it seemed to work pretty well. In EJB2 unit testing was a pain and required a running container such as JBoss to make the calls into. Now that we're going to be working in EJB3 / JPA I'd like to know what companies are using to write and run these tests. Are Junit and JMock still considered relevant or are there other newer frameworks that have come around that we should investigate?

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  • Unit Testing iPhone - Linker Errors

    - by sliver
    I've followed the Unit Testing Applications guide from the iPhone Development documentation. I followed all the steps and it worked with the TestCase from the documentation. But as soon as I changed the TestCase to test real Code from my project I ended up with linker errors. All classes that are used in the TestCase are reported as missing. I've already searched the internet and found that the Bundle Loader property must be set to "$(BUILT_PRODUCTS_DIR)/MyApplication.app/Contents/MacOS/MyApplication". But this also fails because the file could not be found. Any ideas what I have to do to tell the linker where to search for the missing files?

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  • iPhone - strange error when testing on simulator

    - by lostInTransit
    Hi I was testing my app on the simulator when it crashed on clicking a button of a UIAlertView. I stopped debugging there, made some changes to the code and built the app again. Now when I run the application, I get this error in the console Couldn't register com.myApp.debug with the bootstrap server. Error: unknown error code. This generally means that another instance of this process was already running or is hung in the debugger.Program received signal: “SIGABRT”. I tried removing the app from the simulator, doing a clean build but I still get this error when I try to run the app. Can someone please let me know what I should do to be able to run the app on my simulator again. Thanks.

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  • Nginx A/B testing

    - by Alex
    Hey, I'm trying to do A/B testing and I'm using Nginx fo this purpose. My Nginx config file looks like this: events { worker_connections 1024; } error_log /usr/local/experiments/apps/reddit_test/error.log notice; http { rewrite_log on; server { listen 8081; access_log /usr/local/experiments/apps/reddit_test/access.log combined; location / { if ($remote_addr ~ "[02468]$") { rewrite ^(.+)$ /experiment$1 last; } rewrite ^(.+)$ /main$1 last; } location /main { internal; proxy_pass http://www.reddit.com/r/lisp; } location /experiment { internal; proxy_pass http://www.reddit.com/r/haskell; } } } This is kind of working, but css and js files woon't load. Can anyone tell me what's wrong with this config file or what would be the right way to do it? Thanks, Alex

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  • Selecting Users For A/B (Champion/Challenger) Testing

    - by Gordon Guthrie
    We have a framework that offers A/B split testing. You have a 'champion' version of a page and you develop a 'challenger' version of it. Then you run the website and allocate some of your users the champion and some the challenger and measure their different responses. If the challenger is better than the champion at achieving your metrics then you dethrone the champion and develop a new challenger... My question is what mechanisms should I consider to allocate the versions? A number of options spring to mind: odd or even IP address (or sub-segments) ****.****.****.123 gets champion but .124 gets challenger cookie push - check for a champion/challenger cookie, if it doesn't exist randomly allocate the user to one and push the cookie Best practice? suggestions? comments? experience?

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  • Documenting user scenarios and measuring/testing

    - by Rimian
    Please forgive me as I don't quite remember the exact terms for what I am talking about... hence my question. Recently I worked on a large Agile team where I encountered a method of defining user scenarios (much like user stories). These scenarios were a few very basic short sentences with keywords and a structure that could be understood by humans (especially project managers) and could also be coded against using some Java Framework (for verifying tests). The exact structure of this mini language used keywords like "when" and "and" or "if" which was how the framework parsed and verified the result. The purpose of this framework was to interface between management and the acceptance testing framework. So essentially management could write the tests themselves using English. The scenario went something like this: "When a user visits URL and User clicks on X Something happens (that can be measured)" Can anyone help me remember exactly what I am talking about? Many thanks

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