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  • Building Performance Metrics into ASP.NET MVC Applications

    When you're instrumenting an ASP.NET MVC or Web API application to monitor its performance while it is running, it makes sense to use custom performance counters.There are plenty of tools available that read performance counter data, report on it and create alerts based on it. You can then plot application metrics against all sorts of server and workstation metrics.This way, there will always be the right data to guide your tuning efforts.

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  • Important Metrics to Evaluate the Strength of Your Link Building Campaign

    Your link building campaign will make the most of it only if you ensure to consider these metrics and create an ideal mold of link quality. It is true that different verticals demand different metrics, but practically, it all begins with the ability of creating your quality goals at the outset of your campaign, and authenticating that they go through genuine audits to assure a higher quality link portfolio along with improved ranking results.

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  • PHP Performance Metrics

    - by bigstylee
    I am currently developing a PHP MVC Framework for a personal project. While I am developing the framework I am interested to see any notable performance by implementing different techniques for optimization. I have implemented a crude BenchMark class that logs mircotime. The problem is I have no frame of reference for execution times. I am very near the beginnig of this project with a database connection and a few queries but no output (bar some debugging text and BenchMark log). I have a current execution time of 0.01917 seconds. I was expecting this to be lower but as I said before I have no frame of reference. I appreciate there are many variables to take into account when juding performance but I am hoping to find some sort of metric to a) techniques to measure performance for example requests per second and b) compare results for example; how a "moderately" sized PHP application on a "standard" webserver will perform. I appreciate "moderately" and "standard" are very subjective words so perhaps a table of known execution times for a particular application (eg StackOverFlow's executing time). What are other techniques of measuring performance are there other than execution time? When looking at MVC Framework Performance Comparisom it talks about Requests Per Second (RPS). How is this calculated? I am guessing with my current execution time of 0.01917 seconds can handle 52 RPS (= 1 / 0.01917 ). This seems to be significantly lower than that quoted on the graph especially when you consider my current limited funcitonality.

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  • Why This Maintainability Index Increase?

    - by Timothy
    I would be appreciative if someone could explain to me the difference between the following two pieces of code in terms of Visual Studio's Code Metrics rules. Why does the Maintainability Index increase slightly if I don't encapsulate everything within using ( )? Sample 1 (MI score of 71) public static String Sha1(String plainText) { using (SHA1Managed sha1 = new SHA1Managed()) { Byte[] text = Encoding.Unicode.GetBytes(plainText); Byte[] hashBytes = sha1.ComputeHash(text); return Convert.ToBase64String(hashBytes); } } Sample 2 (MI score of 73) public static String Sha1(String plainText) { Byte[] text, hashBytes; using (SHA1Managed sha1 = new SHA1Managed()) { text = Encoding.Unicode.GetBytes(plainText); hashBytes = sha1.ComputeHash(text); } return Convert.ToBase64String(hashBytes); } I understand metrics are meaningless outside of a broader context and understanding, and programmers should exercise discretion. While I could boost the score up to 76 with return Convert.ToBase64String(sha1.ComputeHash(Encoding.Unicode.GetBytes(plainText))), I shouldn't. I would clearly be just playing with numbers and it isn't truly any more readable or maintainable at that point. I am curious though as to what the logic might be behind the increase in this case. It's obviously not line-count.

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  • Why Does This Maintainability Index Increase?

    - by Timothy
    I would be appreciative if someone could explain to me the difference between the following two pieces of code in terms of Visual Studio's Code Metrics rules. Why does the Maintainability Index increase slightly if I don't encapsulate everything within using ( )? Sample 1 (MI score of 71) public static String Sha1(String plainText) { using (SHA1Managed sha1 = new SHA1Managed()) { Byte[] text = Encoding.Unicode.GetBytes(plainText); Byte[] hashBytes = sha1.ComputeHash(text); return Convert.ToBase64String(hashBytes); } } Sample 2 (MI score of 73) public static String Sha1(String plainText) { Byte[] text, hashBytes; using (SHA1Managed sha1 = new SHA1Managed()) { text = Encoding.Unicode.GetBytes(plainText); hashBytes = sha1.ComputeHash(text); } return Convert.ToBase64String(hashBytes); } I understand metrics are meaningless outside of a broader context and understanding, and programmers should exercise discretion. While I could boost the score up to 76 with return Convert.ToBase64String(sha1.ComputeHash(Encoding.Unicode.GetBytes(plainText))), I shouldn't. I would clearly be just playing with numbers and it isn't truly any more readable or maintainable at that point. I am curious though as to what the logic might be behind the increase in this case. It's obviously not line-count.

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  • Tool used to retrieve code metrics in xUnit Test Patterns?

    - by leeand00
    I'm reading xUnit Test Patterns by Gerard Meszaros. On one of the pages he refers to some software metrics: While the need to wrap lines to keep them at 65 characters makes this code look even longer than it really is, it is still unnecessarily long. It contains 25 executable statements including initialized declarations, 6 lines of control statements, 4 in-line comments, and 2 lines to declare the test method—giving a total of 37 lines of unwrapped source code. Short of counting the statements to find these metrics, does anybody have any idea if he used a particular tool to calculate the metrics? (If you have any suggestions for tools that will count similar metrics, I'm looking for one that works on Java, Javascript and C++) Thanks!

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  • OBIEE 11.1.1 - Built-in BI Metrics for Performance Monitoring

    - by Ahmed Awan
    You can use Fusion Middleware Control metrics to monitor System Components (BI processes) and WebLogic Server processes.   Tip: ·         Use Oracle Enterprise Manager (EM) URL to monitor end to end OBIEE real time performance: :7001/em"http://<server>:7001/em ·         In Oracle Business Intelligence 11g, the perfmon URL is still valid to use i.e. :9704/analytics/saw.dll?Perfmon"http://<server>:9704/analytics/saw.dll?Perfmon

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  • Google Analytics - comparing metrics for different cities approach

    - by crmpicco
    I receive traffic from a number of different cities across the world, these being: Washington, Bratislava and Belfast. In Google Analytics, I would like to be able to compare a variety of metrics (side by side), however i'm not sure how to go about this in the best way. Am I looking at creating 3 advanced segments, 3 profiles or should I be doing it in one custom report? Or is this even possible in Google Analytics version 5?

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  • Customer Experience Metrics That Matter Most

    - by Charles Knapp
    When customers contact your company, they don't ask to be deflected or handled or converted. They want to be satisfied. To improve the customer experience, you need more than traditional measures such as deflection rates, handling times, and conversion rates. In this new Oracle AppCast podcast, tune in to this conversation with me about customer experience metrics that you can use to grow your business. Would you like to learn more? Please join us at the one of a kind Customer Experience Summit at the Oracle OpenWorld Conference, October 3-5 in San Francisco.

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  • How to obtain dependency metrics from Java source code?

    - by Bram Schoenmakers
    For an assignment we have to extract some software metrics from the Hibernate project. We have to extract the afferent coupling and efferent coupling metrics (dependency fan-in, fan-out) from each revision of each package in Hibernate. Some tools were provided which are able to extract these metrics, such as ckjm and JDepend. Other tools I have checked were Sonar, javancss and AOP. There is also the Metrics Eclipse plugin which I didn't get to work either. What these tools have in common, as far as I can see, is that they all operate on bytecode (*.class files). This is a problem, because I have to build every revision from source in order to run, say, JDepend on it. Older revisions won't build because my development stack is too recent. What I would like to do is to do this kind of analysis on source files so that I don't have to build each revision. Is this possible? Or is there a good reason why all these tools only operate on bytecode?

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  • Combining Code Review with Trust Metrics

    - by DragonFax
    I don't get the chance to partake of it at work. But I love the idea of code review. Especially of online open source code review like Gerrit Code Review. I love what Trust Metrics have done for forums and collective intelligences sites on the internet like stackexchange, reddit, and wikipedia. Would it be possible to combine the two and come up with an open source project management system. Something that ends up being mostly community driven. Perhaps a kind of wikipedia of code for a project. Where submitters become popular/trusted by having lots of patches reviewed favoriably by others, and accepted into the trunk. And popular/trusted submitters get their patchs accepted faster/easier. I'm looking for some opinions on the idea, or perhaps pointers to where its been done before, if thats the case. This might leave the lead maintiner little more to do than: wrangle the direction of the project by fast-tracking or vetoing specific patches. settling disputes when the CI tests break, or fixing it himself. Is design by community worse than design by committee?

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  • How can CruiseControl.Net fail a build based on changing metrics?

    - by skolima
    I would like CruiseControl.Net to fail a build when some code metrics change in a 'wrong' direction, i.e. code coverage decreases or Gendarme defect count increases. The Gendarme metrics are already tracked in report.xml file (because they are presented on web dashboard graphs), the code coverage is only reported on build status page (and saved in build report xml). How can I achieve this?

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  • SQLServerCentral Webinar Series #6: Gathering and Interpreting Server Metrics including SQL Monitor

    In this webinar, MVP and noted author, Grant Fritchey shows you how to better keep track of what is happening on your instances by gathering information on performance from SQL Monitor and then using that to interpret the impact on your databases. Dec 14, 2010. NEW! SQL Monitor 2.0Monitor SQL Server Central's servers withRed Gate's new SQL Monitor.No installation required. Find out more.

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  • Google Analytics: understanding dimensions and metrics?

    - by flossfan
    If I run a query on the Google Analytics API and set the dimension to ga:pagePathLevel1 and the metric to ga:avgTimeOnPage, I get results like this: { pagePathLevel1: /about, avgTimeOnPage: 28 }, { pagePathLevel1: /contact, avgTimeOnPage: 10 } I'm not completely sure how to interpret this. Is the value of avgTimeOnPage the average time spent by any user on all pages that match that path? Or is 28 seconds the average time spent by any user on any single page that matches that path? I'm looking for the average time spent across all pages matching that path, but the time estimates look shorter than I'd expect. I hope that question makes sense! Please tell me if it doesn't.

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  • SEO Metrics Tools - The Latest Craze

    We all know that Search Engine Optimization is the latest craze everywhere in the world of e-commerce. But this SEO is actually part of Search Engine Marketing or SEM where the promotion of any official website is being carried by increasing the number of visibility in the search engine result pages with the help of SEO.

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  • Raw Materials - Performance Metrics

    Derek adds some bells and whistles to the system. Too many SQL Servers to keep up with?Download a free trial of SQL Response to monitor your SQL Servers in just one intuitive interface."The monitoringin SQL Response is excellent." Mike Towery.

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  • Personal Software Process (PSP1)

    - by gentoo_drummer
    I'm trying to figure out an exercise but it doesn't really makes to much sense.. I'm not asking someone to provide the solution. just to try and analyse what needs to be done in order to solve this. I'm trying to understand which PSP 1.0 1.1 process I should use. PROBE? Or something else? I would greatly appreciate some help on this one from someone that has experience with the Personal Software Process Methodology.. Here is the question. For the reference case (“code1.c”), the following s/w metrics are provided: man-hours spent in implementation phase (per-module): 2,7 mh/file man-hours spent in testing phase (per-module): 4,3 mh/file estimated number of bugs remaining (per-module): 0,3 errors/function, 4 errors/module (remaining) Based on the corresponding values provided for the reference case, each of the following tasks focus on some s/w metrics to be estimated for the test case (“code2.c”): [25 marks] (estimated) man-hours required in implementation phase (per-module) [8 marks] (estimated) man-hours required in testing phase (per-module) [8 marks] (estimated) number of bugs remaining at the end of testing phase (per-module) [9 marks] Tasks 4 through 6 should use the data provided for the reference case within the context of Personal Software Process level-1 (PSP-1), using them as a single-point historic data log. Specifically, the same s/w metrics are to be estimated for the test case (“code2.c”), using PSP as the basic estimation model. In order to perform the above listed tasks, students are advised to consider all phases of the PSP software development process, especially at levels PSP0 and PSP1. Both cases are to be treated as separate case-studies in the context of classic s/w development.

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  • Scrum metrics for quality

    - by zachary
    What is the best way to measure QA in scrum? We have members who typically test and they are measured against how many bugs they find. If they don't find any bugs then they are considered to be doing a bad job. However, it is my understanding that the developers and quality people are considered one in the same. I would think that they should be judged against the same metrics... not different metrics then the developers who may also be doing testing work... What is the best way to handle metrics for QA and should QA people have separate metrics from developers in scrum? Any documents or links someone can point me to in regards to this?

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  • Hyperic HQ metrics not working

    - by Robin Weston
    I am having a problem with Hyperic HQ. Several metrics, some in IIS 6.x (Request Execution Time, Request Wait Time) and some in .NET 2.0 (Bytes in all Heaps, Exceptions Thrown per Minute), always show 0. If I view perfmon on the server itself I can see that the counters have values greater than zero. There are some metrics that work fine, such as Total Get Requests per Minute and the other IIS defaults. I have looked in the server logs but nothing obvious shows up. Please advise. Am happy to find more information if required.

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  • Really slow obtaining font metrics.

    - by Artur
    So the problem I have is that I start my application by displaying a simple menu. To size and align the text correctly I need to obtain font metrics and I cannot find a way to do it quickly. I tested my program and it looks like whatever method I use to obtain font metrics the first call takes over 500 milliseconds!? Because of it the time it takes to start-up my application is much longer than necessary. I don't know if it is platform specific or not, but just in case, I'm using Mac OS 10.6.2 on MacBook Pro (hardware isn't an issue here). If you know a way of obtaining font metrics quicker please help. I tried these 3 methods for obtaining the font metrics and the first call is always very slow, no matter which method I choose. import java.awt.Font; import java.awt.FontMetrics; import java.awt.Graphics; import java.awt.Graphics2D; import java.awt.font.FontRenderContext; import java.awt.font.LineMetrics; import javax.swing.JFrame; public class FontMetricsTest extends JFrame { public FontMetricsTest() { setVisible(true); setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); } @Override public void paint(Graphics g) { Graphics2D g2 = (Graphics2D) g; Font font = new Font("Dialog", Font.BOLD, 10); long start = System.currentTimeMillis(); FontMetrics fontMetrics = g2.getFontMetrics(font); // LineMetrics fontMetrics1 = // font.getLineMetrics("X", new FontRenderContext(null, false, false)); // FontMetrics fontMetrics2 = g.getFontMetrics(); long end = System.currentTimeMillis(); System.out.println(end - start); g2.setFont(font); } public static void main(String[] args) { new FontMetricsTest(); } }

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  • Advantages of Hudson and Sonar over manual process or homegrown scripts.

    - by Tom G
    My coworker and I recently got into a debate over a proposed plan at our workplace. We've more or less finished transitioning our Java codebase into one managed and built with Maven. Now, I'd like for us to integrate with Hudson and Sonar or something similar. My reasons for this are that it'll provide a 'zero-click' build step to provide testers with new experimental builds, that it will let us deploy applications to a server more easily, that tools such as Sonar will provide us with well-needed metrics on code coverage, Javadoc, package dependencies and the like. He thinks that the overhead of getting up to speed with two new frameworks is unacceptable, and that we should simply double down on documentation and create our own scripts for deployment. Since we plan on some aggressive rewrites to pay down the technical debt previous developers incurred (gratuitous use of Java's Serializable interface as a file storage mechanism that has predictably bit us in the ass) he argues that we can document as we go, and that we'll end up changing a large swath of code in the process anyways. I contend that having accurate metrics that Sonar (or fill in your favorite similar tool) provide gives us a good place to start for any refactoring efforts, not to mention general maintenance -- after all, knowing which classes are the most poorly documented, even if it's just a starting point, is better than seat-of-the-pants guessing. Am I wrong, and trying to introduce more overhead than we really need? Some more background: an alumni of our company is working at a Navy research lab now and suggested these two tools in particular as one they've had great success with using. My coworker and I have also had our share of friendly disagreements before -- he's more of the "CLI for all, compiles Gentoo in his spare time and uses Git" and I'm more of a "Give me an intuitive GUI, plays with XNA and is fine with SVN" type, so there's definitely some element of culture clash here.

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