Search Results

Search found 10773 results on 431 pages for 'concurrency testing'.

Page 57/431 | < Previous Page | 53 54 55 56 57 58 59 60 61 62 63 64  | Next Page >

  • unit testing of installer

    - by Alien01
    What is the best process where code is checkedin by developers, installer is created by build engineer and release to QA to test the installer. Should the installer be release to QA without unit testing by Dev. If dev do some changes then they should wait until QA to report bugs.Or if installer first given to dev for unit testing and once they signoff then only it should be release to QA?

    Read the article

  • ASP.Net Architecture Specific to Shared/Static functions

    - by Maxim Gershkovich
    Hello All, Could someone please advise in the context of a ASP.Net application is a shared/static function common to all users? If for example you have a function Public shared function GetStockByID(StockID as Guid) as Stock Is that function common to all current users of your application? Or is the shared function only specific to the current user and shared in the context of ONLY that current user? So more specifically my question is this, besides database concurrency issues such as table locking do I need to concern myself with threading issues in shared functions in an ASP.Net application? In my head; let’s say my application namespace is MyTestApplicationNamespace. Everytime a new user connects to my site a new instance of the MyTestApplicationNamespace is created and therefore all shared functions are common to that instance and user but NOT common across multiple users. Is this correct?

    Read the article

  • How to do Automated UI testing for Flash

    - by Ran
    I have an actionscript 2 application that I'd like to write automated UI testing for. For example I'd like to simulate a mouse click on a button and validate that a movie-clip is displayed at the right position and in the right color... Basically, UI testing. What are the best tools available or what is the desired approach? In JavaScript there is the selenium framework which does a nice job. Any similar tool for flash?

    Read the article

  • How to clear Windows disk read cache?

    - by Sebastiaan Megens
    For performance testing I need to clear Windows' disk read cache. I tried googling but I couldn't find anything other than rebooting or other manual stuff. Before I give in and do that, I'd like to know if anyone knows of a way to clear Windows disk read cache. I'm testing on Windows 7, but I'm also interested in Windows XP solutions.

    Read the article

  • Unit testing a controller in ASP.NET MVC 2 with RedirectToAction

    - by Rob Walker
    I have a controller that implements a simple Add operation on an entity and redirects to the Details page: [HttpPost] public ActionResult Add(Thing thing) { // ... do validation, db stuff ... return this.RedirectToAction<c => c.Details(thing.Id)); } This works great (using the RedirectToAction from the MvcContrib assembly). When I'm unit testing this method I want to access the ViewData that is returned from the Details action (so I can get the newly inserted thing's primary key and prove it is now in the database). The test has: var result = controller.Add(thing); But result here is of type: System.Web.Mvc.RedirectToRouteResult (which is a System.Web.Mvc.ActionResult). It doesn't hasn't yet executed the Details method. I've tried calling ExecuteResult on the returned object passing in a mocked up ControllerContext but the framework wasn't happy with the lack of detail in the mocked object. I could try filling in the details, etc, etc but then my test code is way longer than the code I'm testing and I feel I need unit tests for the unit tests! Am I missing something in the testing philosophy? How do I test this action when I can't get at its returned state?

    Read the article

  • Google App Engine: Unit testing concurrent access to memcache

    - by Phuong Nguyen de ManCity fan
    Would you guys show me a way to simulating concurrent access to memcache on Google App Engine? I'm trying with LocalServiceTestHelpers and threads but don't have any luck. Every time I try to access Memcache within a thread, then I get this error: ApiProxy$CallNotFoundException: The API package 'memcache' or call 'Increment()' was not found I guess that the testing library of GAE SDK tried to mimic the real environment and thus setup the environment for only one thread (the thread that running the test) which cannot be seen by other thread. Here is a piece of code that can reproduce the problem package org.seamoo.cache.memcacheImpl; import org.testng.Assert; import org.testng.annotations.AfterMethod; import org.testng.annotations.BeforeMethod; import org.testng.annotations.Test; import com.google.appengine.api.memcache.MemcacheService; import com.google.appengine.api.memcache.MemcacheServiceFactory; import com.google.appengine.tools.development.testing.LocalMemcacheServiceTestConfig; import com.google.appengine.tools.development.testing.LocalServiceTestHelper; public class MemcacheTest { LocalServiceTestHelper helper; public MemcacheTest() { LocalMemcacheServiceTestConfig memcacheConfig = new LocalMemcacheServiceTestConfig(); helper = new LocalServiceTestHelper(memcacheConfig); } /** * */ @BeforeMethod public void setUp() { helper.setUp(); } /** * @see LocalServiceTest#tearDown() */ @AfterMethod public void tearDown() { helper.tearDown(); } @Test public void memcacheConcurrentAccess() throws InterruptedException { final MemcacheService service = MemcacheServiceFactory.getMemcacheService(); Runnable runner = new Runnable() { @Override public void run() { // TODO Auto-generated method stub service.increment("test-key", 1L, 1L); try { Thread.sleep(200L); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } service.increment("test-key", 1L, 1L); } }; Thread t1 = new Thread(runner); Thread t2 = new Thread(runner); t1.start(); t2.start(); while (t1.isAlive()) { Thread.sleep(100L); } Assert.assertEquals((Long) (service.get("test-key")), new Long(4L)); } }

    Read the article

  • Automatic web form testing/filling

    - by Polatrite
    I recently became lead on getting an inordinate amount of testing done in a very short period of time. We have many different web forms, using custom (Telerik) controls that need to be tested for proper data validation and sensible handling of the data. Some of the forms are several pages long with 30-80 different controls for data entry. I am looking for a software solution (that is free) that would allow me to automate the process of filling in these forms by designing a script, or using a UI. The other requirement is that I can't use any browsers but IE6 (terrible, I know). I have previously used AutoHotkey to great success for automatic Windows form testing, since Autohotkey's API allows you to directly reference controls on the Windows form. However Autohotkey does not have similar support for web forms (everything is just one big "InternetExplorer" control). While I would prefer that I could script some variance in the data to help serialize each test, it's not necessary, as I could go back through and manually edit a field or two (plus "break" whatever control I'm currently testing) to serialize each test. If you've ever seen Spawner: http://forge.mysql.com/projects/project.php?id=214 It's almost exactly the sort of thing I'm looking for (Spawner generates dummy SQL data, as opposed to dummy webform data) - but I won't be picky, I've got a really short deadline to meet and had this thrust in my lap just today. ;) Edit1: One of the challenges of just using Autohotkey to simulate keyboard input (tabbing through controls) is that some controls don't currently have tab index (bug), and some controls cause a page reload after modification, resulting in inconsistent control focus (tabbing screwed up). Our application makes heavy use of page reloads to populate fields (select a location, it auto-populates a city, for example).

    Read the article

  • Cocoa threading question.

    - by Steve918
    I would like to implement an observer pattern in Objective-C where the observer implements an interface similar to SKPaymentTransactionObserver and the observable class just extends my base observable. My observable class looks something like what is below. Notice I'm making copies of the observers before enumeration to avoid throwing an exception . I've tried adding an NSLock around add observers and notify observers, but I run into a deadlock. What would be the proper way to handle concurrency when observers are being added as notifications are being sent? @implementation Observable -(void)notifyObservers:(SEL)selector { @synchronized(self) { NSSet* observer_copy = [observers copy]; for (id observer in observer_copy) { if([observer respondsToSelector: selector]) { [observer performSelector: selector]; } } [observer_copy release]; } } -(void)notifyObservers:(SEL)selector withObject:(id)arg1 withObject:(id)arg2 { @synchronized(self) { NSSet* observer_copy = [observers copy]; for (id observer in observer_copy) { if([observer respondsToSelector: selector]) { [observer performSelector: selector withObject: arg1 withObject: arg2]; } } [observer_copy release]; } } -(void)addObserver:(id)observer { @synchronized(self) { [observers addObject: observer]; } } -(void)removeObserver:(id)observer { @synchronized(self) { [observers removeObject: observer]; } }

    Read the article

  • Concurrent cartesian product algorithm in Clojure

    - by jqno
    Is there a good algorithm to calculate the cartesian product of three seqs concurrently in Clojure? I'm working on a small hobby project in Clojure, mainly as a means to learn the language, and its concurrency features. In my project, I need to calculate the cartesian product of three seqs (and do something with the results). I found the cartesian-product function in clojure.contrib.combinatorics, which works pretty well. However, the calculation of the cartesian product turns out to be the bottleneck of the program. Therefore, I'd like to perform the calculation concurrently. Now, for the map function, there's a convenient pmap alternative that magically makes the thing concurrent. Which is cool :). Unfortunately, such a thing doesn't exist for cartesian-product. I've looked at the source code, but I can't find an easy way to make it concurrent myself. Also, I've tried to implement an algorithm myself using map, but I guess my algorithmic skills aren't what they used to be. I managed to come up with something ugly for two seqs, but three was definitely a bridge too far. So, does anyone know of an algorithm that's already concurrent, or one that I can parallelize myself?

    Read the article

  • How are you taking advantage of Multicore?

    - by tgamblin
    As someone in the world of HPC who came from the world of enterprise web development, I'm always curious to see how developers back in the "real world" are taking advantage of parallel computing. This is much more relevant now that all chips are going multicore, and it'll be even more relevant when there are thousands of cores on a chip instead of just a few. My questions are: How does this affect your software roadmap? I'm particularly interested in real stories about how multicore is affecting different software domains, so specify what kind of development you do in your answer (e.g. server side, client-side apps, scientific computing, etc). What are you doing with your existing code to take advantage of multicore machines, and what challenges have you faced? Are you using OpenMP, Erlang, Haskell, CUDA, TBB, UPC or something else? What do you plan to do as concurrency levels continue to increase, and how will you deal with hundreds or thousands of cores? If your domain doesn't easily benefit from parallel computation, then explaining why is interesting, too. Finally, I've framed this as a multicore question, but feel free to talk about other types of parallel computing. If you're porting part of your app to use MapReduce, or if MPI on large clusters is the paradigm for you, then definitely mention that, too. Update: If you do answer #5, mention whether you think things will change if there get to be more cores (100, 1000, etc) than you can feed with available memory bandwidth (seeing as how bandwidth is getting smaller and smaller per core). Can you still use the remaining cores for your application?

    Read the article

  • Recursively adding threads to a Java thread pool

    - by Leith
    I am working on a tutorial for my Java concurrency course. The objective is to use thread pools to compute prime numbers in parallel. The design is based on the Sieve of Eratosthenes. It has an array of n bools, where n is the largest integer you are checking, and each element in the array represents one integer. True is prime, false is non prime, and the array is initially all true. A thread pool is used with a fixed number of threads (we are supposed to experiment with the number of threads in the pool and observe the performance). A thread is given a integer multiple to process. The thread then finds the first true element in the array that is not a multiple of thread's integer. The thread then creates a new thread on the thread pool which is given the found number. After a new thread is formed, the existing thread then continues to set all multiples of it's integer in the array to false. The main program thread starts the first thread with the integer '2', and then waits for all spawned threads to finish. It then spits out the prime numbers and the time taken to compute. The issue I have is that the more threads there are in the thread pool, the slower it takes with 1 thread being the fastest. It should be getting faster not slower! All the stuff on the internet about Java thread pools create n worker threads the main thread then wait for all threads to finish. The method I use is recursive as a worker can spawn more worker threads. I would like to know what is going wrong, and if Java thread pools can be used recursively.

    Read the article

  • C# Multithreaded Domain Design

    - by Thijs Cramer
    Let's say i have a Domain Model that im trying to make compatible with multithreading. The prototype domain is a game domain that consists of Space, SpaceObject, and Location objects. A SpaceObject has the Move method and Asteroid and Ship extend this object with specific properties for the object (Ship has a name and Asteroid has a color) Let's say i want to make the Move method for each object run in a seperate thread. That would be stupid because with 10000 objects, i would have 10000 threads. What would be the best way to seperate the workload between cores/threads? I'm trying to learn the basics of concurrency, and building a small game to prototype a lot of concepts. What i've already done, is build a domain, and a threading model with a timer that launches events based on intervals. If the event occurs i want to update my entire model with the new locations of any SpaceObject. But i don't know how and when to launch new threads with workloads when the event occurs. Some people at work told me that u can't update your core domain multithreaded, because you have to synch everything. But in that case i can't run my game on a dual quadcore server, because it would only use 1 CPU for the hardest tasks. Anyone know what to do here?

    Read the article

  • Thread-safe initialization of function-local static const objects

    - by sbi
    This question made me question a practice I had been following for years. For thread-safe initialization of function-local static const objects I protect the actual construction of the object, but not the initialization of the function-local reference referring to it. Something like this: namspace { const some_type& create_const_thingy() { lock my_lock(some_mutex); static const some_type the_const_thingy; return the_const_thingy; } } void use_const_thingy() { static const some_type& the_const_thingy = create_const_thingy(); // use the_const_thingy } The idea is that locking takes time, and if the reference is overwritten by several threads, it won't matter. I'd be interested if this is safe enough in practice? safe according to The Rules? (I know, the current standard doesn't even know what "concurrency" is, but what about trampling over an already initialized reference? And do other standards, like POSIX, have something to say that's relevant to this?) For the inquiring minds: Many such function-local static const objects I used are maps which are initialized from const arrays upon first use and used for lookup. For example, I have a few XML parsers where tag name strings are mapped to enum values, so I could later switch over the tags enum values.

    Read the article

  • How to allow one thread to mutate an array property while another thread iterates on a copy of the a

    - by Steve918
    I would like to implement an observer pattern in Objective-C where the observer implements an interface similar to SKPaymentTransactionObserver and the observable class just extends my base observable. My observable class looks something like what is below. Notice I'm making copies of the observers before enumeration to avoid throwing an exception . I've tried adding an NSLock around add observers and notify observers, but I run into a deadlock. What would be the proper way to handle concurrency when observers are being added as notifications are being sent? @implementation Observable -(void)notifyObservers:(SEL)selector { @synchronized(self) { NSSet* observer_copy = [observers copy]; for (id observer in observer_copy) { if([observer respondsToSelector: selector]) { [observer performSelector: selector]; } } [observer_copy release]; } } -(void)notifyObservers:(SEL)selector withObject:(id)arg1 withObject:(id)arg2 { @synchronized(self) { NSSet* observer_copy = [observers copy]; for (id observer in observer_copy) { if([observer respondsToSelector: selector]) { [observer performSelector: selector withObject: arg1 withObject: arg2]; } } [observer_copy release]; } } -(void)addObserver:(id)observer { @synchronized(self) { [observers addObject: observer]; } } -(void)removeObserver:(id)observer { @synchronized(self) { [observers removeObject: observer]; } }

    Read the article

  • How can I increment a counter every N loops in JMeter?

    - by Dave Hunt
    I want to test concurrency, and reliably replicate an issue that JMeter brought to my attention. What I want to do is set a unique identifier (currently the time in milliseconds with a counter appended) and increment the counter between loops but not between threads. The idea being that the number of threads I have set up is the number of identical identifiers before incrementing and using another. If I had 3 threads with a loop count of 2 I want: 1. Unique ID: <current-time-in-millis>000000 2. Unique ID: <current-time-in-millis>000000 3. Unique ID: <current-time-in-millis>000000 4. Unique ID: <current-time-in-millis>000001 5. Unique ID: <current-time-in-millis>000001 6. Unique ID: <current-time-in-millis>000001 I've tried using Throughput Controllers to increment a counter, as well as several other things that seemed they should work but had no luck. This seems like something JMeter should be able to do. Is there any way to get the value of the loop count?

    Read the article

  • What is an efficient strategy for multiple threads posting jobs and waiting for response from a single thread?

    - by jakewins
    In java, what is an efficient solution to the following problem: I have multiple threads (10-20 or so) generating jobs ("Job Creators"), and a single thread capable of performing them ("The worker"). Once a job creator has posted a job, it should wait for the job to finish, yielding no result other than "it's done", before it keeps going. For sending the jobs to the worker thread, I think a ring buffer or similar standard fan-in setup would perhaps be a good approach? But for a Job Creator to find out that her job has been done, I'm not so sure.. The job creators could sleep, and the worker interrupt them when done.. Or each job creator could have an atomic boolean that it checks, and that the worker sets. I dunno, neither of those feel very nice. I'd like to do it with as few (none, if possible) locks as absolutely possible. So to be clear: What I'm looking for is speed, not necessarily simplicity. Does anyone have any suggestions? Links to reading about concurrency strategies would also be very welcome!

    Read the article

  • Sequential access to asynchronous sockets

    - by Lars A. Brekken
    I have a server that has several clients C1...Cn to each of which there is a TCP connection established. There are less than 10,000 clients. The message protocol is request/response based, where the server sends a request to a client and then the client sends a response. The server has several threads, T1...Tm, and each of these may send requests to any of the clients. I want to make sure that only one of these threads can send a request to a specific client at any one time, while the other threads wanting to send a request to the same client will have to wait. I do not want to block threads from sending requests to different clients at the same time. E.g. If T1 is sending a request to C3, another thread T2 should not be able to send anything to C3 until T1 has received its response. I was thinking of using a simple lock statement on the socket: lock (c3Socket) { // Send request to C3 // Get response from C3 } I am using asynchronous sockets, so I may have to use Monitor instead: Monitor.Enter(c3Socket); // Before calling .BeginReceive() And Monitor.Exit(c3Socket); // In .EndReceive I am worried about stuff going wrong and not letting go of the monitor and therefore blocking all access to a client. I'm thinking that my heartbeat thread could use Monitor.TryEnter() with a timeout and throw out sockets that it cannot get the monitor for. Would it make sense for me to make the Begin and End calls synchronous in order to be able to use the lock() statement? I know that I would be sacrificing concurrency for simplicity in this case, but it may be worth it. Am I overlooking anything here? Any input appreciated.

    Read the article

  • Message sent to deallocated instance which has never been released

    - by Jakub
    Hello, I started dealing with NSOperations and (as usual with concurrency) I'm observing strange behaviour. In my class I've got an instance variable: NSMutableArray *postResultsArray; when one button in the UI is pressed I initialize the array: postResultsArray = [NSMutableArray array]; and setup the operations (together with dependencies). In the operations I create a custom object and try to add to the array: PostResult *result = [[PostResult alloc] initWithServiceName:@"Sth" andResult:someResult]; [self.postResultsArray addObject:result]; and while adding I get: -[CFArray retain]: message sent to deallocated instance 0x3b40c30 which is strange as I don't release the array anywhere in my code (I did, but when the problem started to appear I commented all the release operations to be sure that they are not the case). I also used to have @synchronized section like below: PostResult *result = [[PostResult alloc] initWithServiceName:@"Sth" andResult:someResult]; @synchronized (self.postResultsArray) { [self.postResultsArray addObject:result]; } but the problem was the same (however, the error was for the synchronized operation). Any ideas what I may be doing wrong?

    Read the article

  • Locking database edit by key name

    - by Will Glass
    I need to prevent simultaneous edits to a database field. Users are executing a push operation on a structured data field, so I want to sequence the operations, not simply ignore one edit and take the second. Essentially I want to do synchronized(key name) { push value onto the database field } and set up the synchronized item so that only one operation on "key name" will occur at a time. (note: I'm simplifying, it's not always a simple push). A crude way to do this would be a global synchronization, but that bottlenecks the entire app. All I need to do is sequence two simultaneous writes with the same key, which is rare but annoying occurrence. This is a web-based java app, written with Spring (and using JPA/MySQL). The operation is triggered by a user web service call. (the root cause is when a user sends two simultaneous http requests with the same key). I've glanced through the Doug Lea/Josh Bloch/et al Concurrency in Action, but don't see an obvious solution. Still, this seems simple enough I feel there must be an elegant way to do this.

    Read the article

  • LinkedBlockingQueue limit ignored?

    - by tgguy
    I created a Java LinkedBlockingQueue like new LinkedBlockingQueue(1) to limit the size of the queue to 1. However, in my testing, this seems to be ignored and there is often several things in the queue at any given time. Why is this?

    Read the article

  • Mysterious combination

    - by pstone
    I decided to learn concurrency and wanted to find out in how many ways instructions from two different processes could overlap. The code for both processes is just a 10 iteration loop with 3 instructions performed in each iteration. I figured out the problem consisted of leaving X instructions fixed at a point and then fit the other X instructions from the other process between the spaces taking into account that they must be ordered (instruction 4 of process B must always come before instruction 20). I wrote a program to count this number, looking at the results I found out that the solution is n Combination k, where k is the number of instructions executed throughout the whole loop of one process, so for 10 iterations it would be 30, and n is k*2 (2 processes). In other words, n number of objects with n/2 fixed and having to fit n/2 among the spaces without the latter n/2 losing their order. Ok problem solved. No, not really. I have no idea why this is, I understand that the definition of a combination is, in how many ways can you take k elements from a group of n such that all the groups are different but the order in which you take the elements doesn't matter. In this case we have n elements and we are actually taking them all, because all the instructions are executed ( n C n). If one explains it by saying that there are 2k blue (A) and red (B) objects in a bag and you take k objects from the bag, you are still only taking k instructions when 2k instructions are actually executed. Can you please shed some light into this? Thanks in advance.

    Read the article

  • How can I speed-up this loop (in C)?

    - by splicer
    Hi! I'm trying to parallelize a convolution function in C. Here's the original function which convolves two arrays of 64-bit floats: void convolve(const Float64 *in1, UInt32 in1Len, const Float64 *in2, UInt32 in2Len, Float64 *results) { UInt32 i, j; for (i = 0; i < in1Len; i++) { for (j = 0; j < in2Len; j++) { results[i+j] += in1[i] * in2[j]; } } } In order to allow for concurrency (without semaphores), I created a function that computes the result for a particular position in the results array: void convolveHelper(const Float64 *in1, UInt32 in1Len, const Float64 *in2, UInt32 in2Len, Float64 *result, UInt32 outPosition) { UInt32 i, j; for (i = 0; i < in1Len; i++) { if (i > outPosition) break; j = outPosition - i; if (j >= in2Len) continue; *result += in1[i] * in2[j]; } } The problem is, using convolveHelper slows down the code about 3.5 times (when running on a single thread). Any ideas on how I can speed-up convolveHelper, while maintaining thread safety?

    Read the article

  • Using a service registry that doesn’t suck part I: UDDI is dead

    - by gsusx
    This is the first of a series of posts on which I am hoping to detail some of the most common SOA governance scenarios in the real world, their challenges and the approach we’ve taken to address them in SO-Aware. This series does not intend to be a marketing pitch about SO-Aware. Instead, I would like to use this to foment an honest dialog between SOA governance technologists. For the starting post I decided to focus on the aspect that was once considered the keystone of SOA governance: service discovery...(read more)

    Read the article

  • Do abstractions have to reduce code readability?

    - by Martin Blore
    A good developer I work with told me recently about some difficulty he had in implementing a feature in some code we had inherited; he said the problem was that the code was difficult to follow. From that, I looked deeper into the product and realised how difficult it was to see the code path. It used so many interfaces and abstract layers, that trying to understand where things began and ended was quite difficult. It got me thinking about the times I had looked at past projects (before I was so aware of clean code principles) and found it extremely difficult to get around in the project, mainly because my code navigation tools would always land me at an interface. It would take a lot of extra effort to find the concrete implementation or where something was wired up in some plugin type architecture. I know some developers strictly turn down dependency injection containers for this very reason. It confuses the path of the software so much that the difficulty of code navigation is exponentially increased. My question is: when a framework or pattern introduces so much overhead like this, is it worth it? Is it a symptom of a poorly implemented pattern? I guess a developer should look to the bigger picture of what that abstractions brings to the project to help them get through the frustration. Usually though, it's difficult to make them see that big picture. I know I've failed to sell the needs of IOC and DI with TDD. For those developers, use of those tools just cramps code readability far too much.

    Read the article

< Previous Page | 53 54 55 56 57 58 59 60 61 62 63 64  | Next Page >