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  • Firefox : abandon du développement de la version 64 bits pour Windows, trop buggée pour Mozilla

    Firefox : abandon du développement de la version 64 bits Sous Windows, trop buggée pour Mozilla Un des responsables de la Fondation Mozilla en charge de « l'engineering » - Benjamin Smedberg - vient d'appeler à mettre fin au développement de la version 64 bits de Firefox pour Windows. La raison ? Cette déclinaison serait une « source continue d'incompréhension et de frustration » pour les utilisateurs et la communauté. Incompréhension parce que les extensions ne sont que rarement compatibles avec cette version. Frustration, parce que le navigateur serait truffé de bugs inextricables et non corrigés (ce qui, d'après Benjamin Smedberg, ferait que ses utilisateu...

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  • SOA Suite demo pod at OOW 2012

    - by Simone Geib
    Visit us in the exhibition hall at Oracle Open World from Monday October 1st till Wednesday October 3rd. You'll have the opportunity to meet our engineering team and product managers and learn what SOA Suite is about and all the cool stuff you can do with it. Come to get a general demo, ask specific questions, give feedback or just have discussions with the Oracle SOA team. You can find us at Moscone South, Right - S-229. And don't forget to check out the Focus on SOA and BPM document for an overview of all SOA and BPM sessions

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  • What do I need to do, to get placed in any software company?

    - by Anto Aravinth
    I'm doing my 3rd year CSE Engineering. I guess this is the right time to ask this question! As in the next year, I'm going to do projects, "get my hands dirty". And there is only few days left out, as I know many people in Stack Overflow are working in Software field, I thought to ask these question. Does the project that I'm doing in my final year need to be excellent? If so, what kind of project to do? And how do you say that the project is excellent or not? Writing the code is very fun and serious at times. But the code should have a good algorithm? And mostly in any software companies interview, what kind of question they ask? Not but not the least, mastering in any particular language speaks in interviews?

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  • Is Haskell worth learning?

    - by Jason K
    I am looking at this question primarily from a career point of view, so I hope you answer it accordingly. I am fairly proficient with Python, can write C++ and I am a final year student of computer science engineering I am looking to learn Haskell because I have heard a lot about it. My question is: apart from learning it because of all the good I have heard about it, is it any good for my career? Is it used in the industry? I am curious to learn it but unless it helps me somehow in my career, I am not willing to make that change at this stage. Looking for some personal experiences here. Thanks!

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  • How to explain OOP to a matlab programmer?

    - by Oak
    I have a lot of friends who come from electrical / physical / mechanical engineering background, and are curious about what is "OOP" all about. They all know Matlab quite well, so they do have basic programming background; but they have a very hard time grasping a complex type system which can benefit from the concepts OOP introduces. Can anyone propose a way I can try to explain it to them? I'm just not familiar with Matlab myself, so I'm having troubles finding parallels. I think using simple examples like shapes or animals is a bit too abstract for those engineers. So far I've tried using a Matrix interface vs array-based / sparse / whatever implementations, but that didn't work so well, probably because different matrix types are already well-supported in Matlab.

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  • How important is Discrete Mathematics for a Computer Scientist?

    - by mort
    As the title says, How important is Discrete Mathematics for a Computer Scientist? Background: I'm pursuing a Master's degree with a focus on fundamentals such as Algorithms, Complexity and Computability Theory and Programming Languages to get a good foundation for working in the field of Parallel Computing. Some more background: My university grants a lot of freedom in the choices of courses for my Master's degree. It's officially called "Software Engineering", but due to a the broad range of electives, a different focus is possible. Interestingly, none of the electives is a lecture in Math! I'm thinking about doing a course about Discrete Mathematics that would take half a semester to complete successfully, even if I can't use it for my degree. So with this question I'm trying to find out if the effort is justifiable.

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  • Are There Realistic/Useful Solutions for Source Control for Ladder Logic Programs

    - by Steven A. Lowe
    Version control for ladder logic (LL) programs for programmable logic controllers (PLCs) seems to be virtually non-existent. It may be because LL is a visual language and tends to be stored in binary files, or it may be because source code control hasn't "caught on" in process control engineering circles - or perhaps my Google-Fu is weak tonight. Do you know of any realistic and useful solutions for version control for such systems? Definitions: realistic = changes to the programs are tracked by user and subject to reversion and merges useful = the system integrates with visual LL designers, is not limited to LL from a single PLC manufacturer, and does not cost a ridiculous amount of money? Note: I have heard of people using SVN or Mercurial et al to track the binary files, but I don't think the diff/merge capabilities would display readable differences.

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  • Adapters, SOA Suite and More @Openworld 2012

    - by Ramkumar Menon
    You are invited to attend my sessions at Oracle Openworld 2012 at San Francisco! CON8627 - Administration and Management Essentials for Oracle SOA Suite 11g Session Speakers: Ramkumar Menon, Francis Ip Session Schedule: Monday, Oct 1, 1:45 PM - 2:45 PM - Session Location: Marriott Marquis - Salon 7 CON8642 - Cloud and On-Premises Applications Integration using Oracle Integration Adapters Session Speakers: Vikas Anand, Ramkumar Menon, Stephen Mcritchie Session Schedule: Wednesday, Oct 3, 1:15 PM - 2:15 PM Session Location: Moscone South - 310 And do stop by at the Oracle Integration Adapters Demo booth. Watch some live demos on how you can use our suite of Adapters to integrate and extend your Enterprise Applications! This is your opportunity to meet with our Engineering team, share with us your Integration use-cases and challenges, and hear from us on our Roadmap. The Oracle Integration Adapters booth is located at the Fusion Middleware Demopod area  from Monday, October 1 through Wednesday, October 3, 2012.

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  • Knowing so much but application is a problem?

    - by Moaz ELdeen
    In my work, my friends always tell me, you know so much about computer science, electronics engineering,..etc. But I have difficulty in applying them and my code is crap. How to solve that problem? Will I be better or programming isn't my career? For example, yes I know OCTree that is used for space partitioning in games and it is used for optimization, did I implement it? No, but I know about it in principle.. Do I know algorithms like Sorting, Searching,..etc? Yes, and I know them pretty well, but didn't implement them.. When I get a task, I struggle in applying the things that I know...

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • Webcast Series: Accelerate Business-Critical Database Deployments with Oracle Optimized Solutions

    - by ferhat
    Join us for this two-part Webcast series and learn how to safely consolidate business-critical databases and deliver quantifiable benefits to the business: Save up to 75% in operational and acquisition costs Save millions of dollars consolidating legacy infrastructure Leverage best practices from thousands of customer environments Increase end user productivity with 75% faster time to operations and 4x faster throughput   The Oracle Optimized Solution for Oracle Database  provides extensive guidelines for architecting and deploying complete database solutions that deliver superior performance and availability while minimizing cost and risk. Oracle’s world-class engineering teams work together to define these optimal architectures using Oracle's powerful SPARC M-Series and SPARC T-Series servers together with Oracle Solaris and Oracle's SAN, NAS, and flash-based storage to run the industry-leading Oracle Database. Quite simply, the Oracle Optimized Solution for Oracle Database makes it easier for you to deliver and manage business critical database environments that are fast, secure and cost-effective. Available On-Demand PART 1: Why Architecture Matters When Deploying Business-Critical Databases PART 2: How To Consolidate Databases Using Oracle Optimized Solutions   Presented by: Lawrence McIntosh, Principal Enterprise Architect, Oracle Optimized Solutions Ken Kutzer, Principal Product Manager, Infrastructure Solutions, Oracle  

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  • OpenGL programming vs Blender Software, which is better for custom video creation?

    - by iammilind
    I am learning OpenGL API bit by bit and also develop my own C++ framework library for effectively using them. Recently came across Blender software which is used for graphics creation and is in turn written in OpenGL itself. For my part time hobby of graphics learning, I want to just create small-small movie or video segments; e.g. related to construction engineering, epic stories and so on. There may be very minimal to nil mouse-keyboard interaction for those videos, unlike video games which are highly interactive. I was wondering if learning OpenGL from scratch is worth for it or should I invest my time in learning Blender software? There are quite a few good movie examples are created using Blender and are shown in its website. Other such opensource cross platform alternatives are also welcome, which can serve my aforementioned purpose.

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  • How to write a network game? [closed]

    - by Tom Wijsman
    Based on Why is so hard to develop a MMO?: Networked game development is not trivial; there are large obstacles to overcome in not only latency, but cheat prevention, state management and load balancing. If you're not experienced with writing a networked game, this is going to be a difficult learning exercise. I know the theory about sockets, servers, clients, protocols, connections and such things. Now I wonder how one can learn to write a network game: How to balance load problems? How to manage the game state? How to keep things synchronized? How to protect the communication and client from reverse engineering? How to work around latency problems? Which things should be computed local and which things on the server? ... Are there any good books, tutorials, sites, interesting articles or other questions regarding this? I'm looking for broad answers, but specific ones are fine too to learn the difference.

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  • Oracle Optimized Storage Launch - July 18, 2012

    - by Cinzia Mascanzoni
    Join us for this online Storage launch event featuring Mark Hurd and John Fowler on July 18, 2012, as they unveil the latest advances in Oracle optimized storage. Learn how we’re helping enterprises simplify their storage, increase data management efficiency, and use storage to drive business innovation. Three webcasts, one event. Highlights include: The unveiling of our new "Oracle optimized storage" messaging - storage that helps customers cut IT cost and complexity so they can unleash business innovation A roundtable discussion with our NAS, SAN &Tape VPs of Engineering Four new customer testimonial videos The announcement of the new StorageTek SL 150 Tape Library Live Q&A chat throughout the event with Oracle experts Register here today.

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  • Is Data Science “Science”?

    - by BuckWoody
    I hold the term “science” in very high esteem. I grew up on the Space Coast in Florida, and eventually worked at the Kennedy Space Center, surrounded by very intelligent people who worked in various scientific fields. Recently a new term has entered the computing dialog – “Data Scientist”. Since it’s not a standard term, it has a lot of definitions, and in fact has been disputed as a correct term. After all, the reasoning goes, if there’s no such thing as “Data Science” then how can there be a Data Scientist? This argument has been made before, albeit with a different term – “Computer Science”. In Peter Denning’s excellent article “Is Computer Science Science” (April  2005/Vol. 48, No. 4 COMMUNICATIONS OF THE ACM) there are many points that separate “science” from “engineering” and even “art”.  I won’t repeat the content of that article here (I recommend you read it on your own) but will leverage the points he makes there. Definition of Science To ask the question “is data science ‘science’” then we need to start with a definition of terms. Various references put the definition into the same basic areas: Study of the physical world Systematic and/or disciplined study of a subject area ...and then they include the things studied, the bodies of knowledge and so on. The word itself comes from Latin, and means merely “to know” or “to study to know”. Greek divides knowledge further into “truth” (episteme), and practical use or effects (tekhne). Normally computing falls into the second realm. Definition of Data Science And now a more controversial definition: Data Science. This term is so new and perhaps so niche that the major dictionaries haven’t yet picked it up (my OED reference is older – can’t afford to pop for the online registration at present). Researching the term's general use I created an amalgam of the definitions this way: “Studying and applying mathematical and other techniques to derive information from complex data sets.” Using this definition, data science certainly seems to be science - it's learning about and studying some object or area using systematic methods. But implicit within the definition is the word “application”, which makes the process more akin to engineering or even technology than science. In fact, I find that using these techniques – and data itself – part of science, not science itself. I leave out the concept of studying data patterns or algorithms as part of this discipline. That is actually a domain I see within research, mathematics or computer science. That of course is a type of science, but does not seek for practical applications. As part of the argument against calling it “Data Science”, some point to the scientific method of creating a hypothesis, testing with controls, testing results against the hypothesis, and documenting for repeatability.  These are not steps that we often take in working with data. We normally start with a question, and fit patterns and algorithms to predict outcomes and find correlations. In this way Data Science is more akin to statistics (and in fact makes heavy use of them) in the process rather than starting with an assumption and following on with it. So, is Data Science “Science”? I’m uncertain – and I’m uncertain it matters. Even if we are facing rampant “title inflation” these days (does anyone introduce themselves as a secretary or supervisor anymore?) I can tolerate the term at least from the intent that we use data to study problems across a wide spectrum, rather than restricting it to a single domain. And I also understand those who have worked hard to achieve the very honorable title of “scientist” who have issues with those who borrow the term without asking. What do you think? Science, or not? Does it matter?

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  • Basics of ERP for dummies

    - by DarenW
    A situation has arisen where (if I don't scream and run away) I will be involved in an ERP system. This project will be using OpenERP specifically. My background is entirely science/engineering/music/games/art/whatever. I've never set foot in the realm of business systems or anything describable with the word "enterprise". What is a good introduction to the whole ERP concept, OpenERP and business systems in general suitable for those with flat zero experience in that world? The ideal intro would explain, from no assumptions, what the main ideas are, terminology, they style of work and thinking of people in that world, and maybe some concrete suggestions how one can tinker around with a copy of OpenERP to gain basic familiarity.

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  • How do you manage feature requests and software changes?

    - by 0A0D
    I am a Software Engineer and over the past few years I have become the de-facto software project manager simply because there isn't one. So to keep our sanity in the R&D/Engineering department, customers have become accustomed to coming to me with their requests. I have no experience in this realm so it is my first time acting as a project manager for software projects. I have managed other things but not software. So, how do you manage software projects and mark priorities? Requests come in at infrequent intervals so we very well could be working on something for someone else and then another person comes in with a "rush" job that needs working on. Is it easier to just say First Come, First Serve or is it the person with the most money?

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  • What are approaches for analyzing the cost-benefits of a development methodology?

    - by Garrett Hall
    There are many development practices (TDD, continuous integration, cowboy-coding), principles (SOLID, layers of abstraction, KISS), and processes (RUP, Scrum, XP, Waterfall). I have learned you can't follow any of these blindly, but have to consider context and ROI (return on investment). My question is: How do you know whether you are getting a good ROI by following a particular methodology? Metrics, guesstimation, experience? Do analytical methods exist? Or is this just the million-dollar question in software engineering that has no answer?

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  • Alkan Improves Aeronautical-Equipment Product Collaboration, Design Processes, and Government Compliance

    - by Gerald Fauteux
    Alkan S.A. a leading aeronautical equipment manufacturer in France, specializing in carriage-release and ejection systems for various types of military aircraft utilize Oracle’s AutoVue Electro-Mechanical Professional for Agile as part of its Agile Product Lifecycle Management solution. AutoVue Electro-Mechanical Professional for Agile enables multiformat 3-D viewing of engineering designs, leading to deeper analysis of component and product functionality and allows all teams to easily participate and contribute to product data early in the development cycle. Alkan S.A.’s equipment is used in more than 65 countries and is certified for more than 60 types of aircraft, worldwide. Click here to read the complete story. French version.

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  • Oracle Solaris 11 Developer Webinar Series

    - by nospam(at)example.com (Joerg Moellenkamp)
    Starting March 27th a number of events called "Oracle Solaris 11 Developer Webinar Series" (that said, i think they are not only interesting for developers, but for admins as well that support admins in their job) will take place by WebEx/Phone: March 27th: Modern Software Packaging for Enterprise Developers April 10th: Simplify Your Development Environment with Zones, ZFS & More April 24th: Managing Application Services ? Using SMF Manifests in Solaris 11 May 8th: Optimize Your Applications on Oracle Solaris 11: The DTrace Advantage May 22nd: Maximize Application Performance and Reliability on Oracle Solaris 11 June 5th: Writing Oracle Solaris 11 Device Drivers All events start at 9am Pacific Daylight Time (Should be 18:00 in Germany, 17:00 in UK, 01:00 in Tokyo). Of course the events are for free (before someone asks) and available for anyone who signs up. The chat is staffed with Solaris 11 Engineering Experts sitting in to answer questions. And most important: Mostly technical content and the events will be recorded.

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  • Being a good mentee - a protégé.

    - by marked
    The complement of the Being a good mentor question. I work with many very senior people that have vast amounts of knowledge and wisdom in Software, Engineering and our business domain. What are some tips for gaining as much knowledge from them? I don't want to take up too much of their time, but also want to take full advantage of this since it really could help develop my skills. What are some good questions to get the conversation rolling in a sit down mentor/mentee session? Some of the people providing mentorship have little experience in this area, so it would help to be able to lead some of these discussions.

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  • Why are software schedules so hard to define?

    - by 0A0D
    It seems that, in my experience, getting us engineers to accurately estimate and determine tasks to be completed is like pulling teeth. Rather than just giving a swag estimate of 2-3 weeks or 3-6 months... what is the simplest way to define software schedules so they are not so painful to define? For instance, customer A wants a feature by 02/01/2011. How do you schedule time to implement this feature knowing that other bug fixes may be needed along the way and take up additional engineering time?

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  • Why do employers care so much about GPA?

    - by Recursion
    I went to a pretty good engineering school and did CS. I graduated with a 2.86 gpa and really tried my best. I even took a few graduate classes in place of undergrad courses to challenge myself. I really liked those a lot. But the second question I am always asked is "What was your gpa?", this of course always comes after "How are you today?". Once I tell them either 2.86 or a rounded 2.9 they immediately shut off. I have even had them stop the interview saying the 3.0 is the cut off. Does a tenth of a point really mean that much?

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  • Why are software schedules so hard to define?

    - by 0A0D
    It seems that, in my experience, getting us engineers to accurately estimate and determine tasks to be completed is like pulling teeth. Rather than just giving a swag estimate of 2-3 weeks or 3-6 months... what is the simplest way to define software schedules so they are not so painful to define? For instance, customer A wants a feature by 02/01/2011. How do you schedule time to implement this feature knowing that other bug fixes may be needed along the way and take up additional engineering time?

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  • Organazing ASP.Net Single Page Application with Nancy

    - by OnesimusUnbound
    As a personal project, I'm creating a single page, asp.net web application using Nancy to provide RESTful services to the single page. Due to the complexity of the single page, particularly the JavaScripts used, I've think creating a dedicated project for the client side of web development and another for service side will organize and simplify the development. solution | +-- web / client side (single html page, js, css) | - contains asp.net project, and nancy library | to host the modules in application ptoject folder | +-- application / service (nancy modules, bootstrap for other layer) | . . . and other layers (three teir, domain driven, etc) . Is this a good way of organizing a complex single page application? Am I over-engineering the web app, incurring too much complexity?

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