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  • Open source project for c++ developer?

    - by yesraaj
    I am a vc++ developer (but like Qt) interested in learning from open source project by contributing and reading the code. I use windows as primary development platform. Which project will be right for me to start? Is chromium a good choice?

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  • Best open source C# library?

    - by Alon
    There are great .NET libraries and components. What is, for your opinion the most useful, effective, well wrriten open source C# library you've ever seen? Mines, is the great Html Agility Pack. Please post one library per answer.

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  • Open Source projects that use agile methods or have tried them

    - by Patrick Cornelissen
    I'm preparing a short talk for a conference in august and I'm looking for open source projects that are using agile methods internally or have tried them in the past. My goal is to talk about the things that work well and what won't work and promote the agile methods a little bit, because I think certain agile techniques are a good fit, but don't seem to be that common in real development. So does anyone know projects that have tried agile methods and techniques before? I'd like to contact them for a few questions.

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  • C++ open source projects

    - by Chaoz
    Hello, I'm looking for a suitable open source project to work on in C++. It really can be anything. My background is in gaming, on both PC and consoles; but I'd prefer to work on something low latency or real time. I'm also interested in Math stuff. Do any of you guys have suggestions?

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  • Publishing an open source project as a public repository and applying a license

    - by Anton
    If I publish my project now, with added license information, will the license still apply to the project if one goes back a few commits in the history to a state where I hadn't yet added any license information? [Relevant answer][1] [1]: http://stackoverflow.com/questions/2468566/correctly-applying-an-open-source-license/2468663#2468663 Relevant answer This suggests that unless there is some license information available, no rights are granted. Is that true in this case too? Or will the license I added in the last commit also apply to older commits?

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  • How to remove a package I compiled and installed manually?

    - by macek
    I recently compiled and installed Git on a new install of Mac OS 10.6 but it didn't install the documentation. I now realize I should've used the precompiled package offered here: http://code.google.com/p/git-osx-installer/downloads/list How do I remove all the files that I added to my system using make install with the Git source code? Edit: I've had similar problems in the past with other packages, too. For example, ./configure with the incorrect --prefix= or something. What's the general practice for removing unix packages?

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  • Looking for calculator source code, BSD-licensed

    - by Horace Ho
    I have an urgent project which need many functions of a calculator (plus a few in-house business rule formulas). As I won't have time to re-invent the wheel so I am looking for source code directly. Requirements: BSD licensed (GPL won't help) in c/c++ programming language 32-bit CPU minimum dependency on platform API/data structure best with both RPN and prefix notation supported emulator/simulator code also acceptable (if not impossible to add custom formula) with following functions (from wikipedia) Scientific notation for calculating large numbers floating point arithmetic logarithmic functions, using both base 10 and base e trigonometry functions (some including hyperbolic trigonometry) exponents and roots beyond the square root quick access to constants such as pi and e plus hexadecimal, binary, and octal calculations, including basic Boolean math fractions optional statistics and probability calculations complex numbers programmability equation solving

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  • Announcing General Availability of the E-Business Suite Plug-in

    - by Kenneth E.
    Oracle E-Business Suite Application Technology Group (ATG) is pleased to announce the General Availability of Oracle E-Business Suite Plug-in 12.1.0.1.0, an integral part of Application Management Suite for Oracle E-Business Suite.The combination of Enterprise Manager 12c Cloud Control and the Application Management Suite combines functionality that was available in the standalone Application Management Pack for Oracle E-Business Suite and Application Change Management Pack for Oracle E-Business Suite with Oracle’s Real User Experience Insight product and the Configuration & Compliance capabilities to provide the most complete solution for managing Oracle E-Business Suite applications. The features that were available in the standalone management packs are now packaged into the Oracle E-Business Suite Plug-in, which is now fully certified with Oracle Enterprise Manager 12c Cloud Control. This latest plug-in extends Cloud Control with E-Business Suite specific system management capabilities and features enhanced change management support.Here is all the information you need to get started:EBS Plug-in 12.1.0.1.0 info -Full Announcement•    E-Business Suite Plug-in 12.1.0.1 for Enterprise Manager 12c Now Available MOS -•    Getting Started with Oracle E-Business Suite Plug-in, Release 12.1.0.1.0 (Doc ID 1434392.1)Documentation -•    Oracle Application Management Pack for Oracle E-Business Suite Guide, Release 12.1.0.1.0Certification•    Platforms and OS Release certification information is available from My Oracle Support via the Certification page. •    Search using the official trademark name Oracle Application Management Pack for Oracle E-Business Suite and Release 12.1.0.1.0

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  • Reference Data Management and Master Data: Are Relation ?

    - by Mala Narasimharajan
    Submitted By:  Rahul Kamath  Oracle Data Relationship Management (DRM) has always been extremely powerful as an Enterprise Master Data Management (MDM) solution that can help manage changes to master data in a way that influences enterprise structure, whether it be mastering chart of accounts to enable financial transformation, or revamping organization structures to drive business transformation and operational efficiencies, or restructuring sales territories to enable equitable distribution of leads to sales teams following the acquisition of new products, or adding additional cost centers to enable fine grain control over expenses. Increasingly, DRM is also being utilized by Oracle customers for reference data management, an emerging solution space that deserves some explanation. What is reference data? How does it relate to Master Data? Reference data is a close cousin of master data. While master data is challenged with problems of unique identification, may be more rapidly changing, requires consensus building across stakeholders and lends structure to business transactions, reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and gives them contextual value. In fact, the creation of a new master data element may require new reference data to be created. For example, when a European company acquires a US business, chances are that they will now need to adapt their product line taxonomy to include a new category to describe the newly acquired US product line. Further, the cross-border transaction will also result in a revised geo hierarchy. The addition of new products represents changes to master data while changes to product categories and geo hierarchy are examples of reference data changes.1 The following table contains an illustrative list of examples of reference data by type. Reference data types may include types and codes, business taxonomies, complex relationships & cross-domain mappings or standards. Types & Codes Taxonomies Relationships / Mappings Standards Transaction Codes Industry Classification Categories and Codes, e.g., North America Industry Classification System (NAICS) Product / Segment; Product / Geo Calendars (e.g., Gregorian, Fiscal, Manufacturing, Retail, ISO8601) Lookup Tables (e.g., Gender, Marital Status, etc.) Product Categories City à State à Postal Codes Currency Codes (e.g., ISO) Status Codes Sales Territories (e.g., Geo, Industry Verticals, Named Accounts, Federal/State/Local/Defense) Customer / Market Segment; Business Unit / Channel Country Codes (e.g., ISO 3166, UN) Role Codes Market Segments Country Codes / Currency Codes / Financial Accounts Date/Time, Time Zones (e.g., ISO 8601) Domain Values Universal Standard Products and Services Classification (UNSPSC), eCl@ss International Classification of Diseases (ICD) e.g., ICD9 à IC10 mappings Tax Rates Why manage reference data? Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Further, mapping reference data often requires human judgment. Sample Use Cases of Reference Data Management Healthcare: Diagnostic Codes The reference data challenges in the healthcare industry offer a case in point. Part of being HIPAA compliant requires medical practitioners to transition diagnosis codes from ICD-9 to ICD-10, a medical coding scheme used to classify diseases, signs and symptoms, causes, etc. The transition to ICD-10 has a significant impact on business processes, procedures, contracts, and IT systems. Since both code sets ICD-9 and ICD-10 offer diagnosis codes of very different levels of granularity, human judgment is required to map ICD-9 codes to ICD-10. The process requires collaboration and consensus building among stakeholders much in the same way as does master data management. Moreover, to build reports to understand utilization, frequency and quality of diagnoses, medical practitioners may need to “cross-walk” mappings -- either forward to ICD-10 or backwards to ICD-9 depending upon the reporting time horizon. Spend Management: Product, Service & Supplier Codes Similarly, as an enterprise looks to rationalize suppliers and leverage their spend, conforming supplier codes, as well as product and service codes requires supporting multiple classification schemes that may include industry standards (e.g., UNSPSC, eCl@ss) or enterprise taxonomies. Aberdeen Group estimates that 90% of companies rely on spreadsheets and manual reviews to aggregate, classify and analyze spend data, and that data management activities account for 12-15% of the sourcing cycle and consume 30-50% of a commodity manager’s time. Creating a common map across the extended enterprise to rationalize codes across procurement, accounts payable, general ledger, credit card, procurement card (P-card) as well as ACH and bank systems can cut sourcing costs, improve compliance, lower inventory stock, and free up talent to focus on value added tasks. Change Management: Point of Sales Transaction Codes and Product Codes In the specialty finance industry, enterprises are confronted with usury laws – governed at the state and local level – that regulate financial product innovation as it relates to consumer loans, check cashing and pawn lending. To comply, it is important to demonstrate that transactions booked at the point of sale are posted against valid product codes that were on offer at the time of booking the sale. Since new products are being released at a steady stream, it is important to ensure timely and accurate mapping of point-of-sale transaction codes with the appropriate product and GL codes to comply with the changing regulations. Multi-National Companies: Industry Classification Schemes As companies grow and expand across geographies, a typical challenge they encounter with reference data represents reconciling various versions of industry classification schemes in use across nations. While the United States, Mexico and Canada conform to the North American Industry Classification System (NAICS) standard, European Union countries choose different variants of the NACE industry classification scheme. Multi-national companies must manage the individual national NACE schemes and reconcile the differences across countries. Enterprises must invest in a reference data change management application to address the challenge of distributing reference data changes to downstream applications and assess which applications were impacted by a given change. References 1 Master Data versus Reference Data, Malcolm Chisholm, April 1, 2006.

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  • Open source political campaign management software?

    - by carolclarinet
    Does anyone know of any active open source projects working on political campaign management software? I looked on sourceforge but didn't see anything relevant from the queries "political", "politics", "donations", "campaign", or in the categories "accounting", "politics" or "voting". I'm involved with a political campaign that is currently paying out the nose for some horribly designed SaaS (whose Name i Guess i should Protect, ahem) to basically just keep track of donations people have made now, donations people have made in the past, donations people have pledged to make, contact information, the way they will likely vote, etc. It's a bit much to manage in spreadsheets, but doesn't seem like it's something complex enough that political campaigns should have to pay for (especially low-budget local ones). I'd love to help out if such a project exists, or start/revive one if it doesn't. Any hints, places to look, etc are much appreciated.

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  • How to decide on going into management?

    - by Rob Wells
    I read the transcript of a speech by Richard Hamming included as a part of this SO question and the speech had a quote that got me thinking about when someone should move into development. When your vision of what you want to do is what you can do single-handedly, then you should pursue it. The day your vision, what you think needs to be done, is bigger than what you can do single-handedly, then you have to move toward management. And the bigger the vision is, the farther in management you have to go. Any other suggestions as to how you can decide if you want to move away from the coal face and into management?

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  • Netbeans source code formatting

    - by lucky
    I am Netbeans user for PHP. I have installed Netbeans IDE 6.8. Everything is working well. There is an option in SOURCE -- FORMAT. This action formats the code properly. It is quite handy. Unfortunately, this functionality is not working for me. Whenever some php code comes in between, it additionally adding some empty rows in between and making it more untidy. Can you please help to set up the same functionality. Restore the settings to default.

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  • Is committing/checking in code everyday a good practice?

    - by ArtB
    I've been reading Martin Fowler's note on Continuous Integration and he lists as a must "Everyone Commits To the Mainline Every Day". I do not like to commit code unless the section I'm working on is complete and that in practice I commit my code every three days: one day to investigate/reproduce the task and make some preliminary changes, a second day to complete the changes, and a third day to write the tests and clean it up^ for submission. I would not feel comfortable submitting the code sooner. Now, I pull changes from the repository and integrate them locally usually twice a day, but I do not commit that often unless I can carve out a smaller piece of work. Question: is committing everyday such a good practice that I should change my workflow to accomodate it, or it is not that advisable? Edit: I guess I should have clarified that I meant "commit" in the CVS meaning of it (aka "push") since that is likely what Fowler would have meant in 2006 when he wrote this. ^ The order is more arbitrary and depends on the task, my point was to illustrate the time span and activities, not the exact sequence.

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  • Which things instantly ring alarm bells when looking at code? [closed]

    - by FinnNk
    I attended a software craftsmanship event a couple of weeks ago and one of the comments made was "I'm sure we all recognize bad code when we see it" and everyone nodded sagely without further discussion. This sort of thing always worries me as there's that truism that everyone thinks they're an above average driver. Although I think I can recognize bad code I'd love to learn more about what other people consider to be code smells as it's rarely discussed in detail on people's blogs and only in a handful of books. In particular I think it'd be interesting to hear about anything that's a code smell in one language but not another. I'll start off with an easy one: Code in source control that has a high proportion of commented out code - why is it there? was it meant to be deleted? is it a half finished piece of work? maybe it shouldn't have been commented out and was only done when someone was testing something out? Personally I find this sort of thing really annoying even if it's just the odd line here and there, but when you see large blocks interspersed with the rest of the code it's totally unacceptable. It's also usually an indication that the rest of the code is likely to be of dubious quality as well.

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  • Five Key Strategies in Master Data Management

    - by david.butler(at)oracle.com
    Here is a very interesting Profit Magazine article on MDM: A recent customer survey reveals the deleterious effects of data fragmentation. by Trevor Naidoo, December 2010   Across industries and geographies, IT organizations have grown in complexity, whether due to mergers and acquisitions, or decentralized systems supporting functional or departmental requirements. With systems architected over time to support unique, one-off process needs, they are becoming costly to maintain, and the Internet has only further added to the complexity. Data fragmentation has become a key inhibitor in delivering flexible, user-friendly systems. The Oracle Insight team conducted a survey assessing customers' master data management (MDM) capabilities over the past two years to get a sense of where they are in terms of their capabilities. The responses, by 27 respondents from six different industries, reveal five key areas in which customers need to improve their data management in order to get better financial results. 1. Less than 15 percent of organizations surveyed understand the sources and quality of their master data, and have a roadmap to address missing data domains. Examples of the types of master data domains referred to are customer, supplier, product, financial and site. Many organizations have multiple sources of master data with varying degrees of data quality in each source -- customer data stored in the customer relationship management system is inconsistent with customer data stored in the order management system. Imagine not knowing how many places you stored your customer information, and whether a customer's address was the most up to date in each source. In fact, more than 55 percent of the respondents in the survey manage their data quality on an ad-hoc basis. It is important for organizations to document their inventory of data sources and then profile these data sources to ensure that there is a consistent definition of key data entities throughout the organization. Some questions to ask are: How do we define a customer? What is a product? How do we define a site? The goal is to strive for one common repository for master data that acts as a cross reference for all other sources and ensures consistent, high-quality master data throughout the organization. 2. Only 18 percent of respondents have an enterprise data management strategy to ensure that data is treated as an asset to the organization. Most respondents handle data at the department or functional level and do not have an enterprise view of their master data. The sales department may track all their interactions with customers as they move through the sales cycle, the service department is tracking their interactions with the same customers independently, and the finance department also has a different perspective on the same customer. The salesperson may not be aware that the customer she is trying to sell to is experiencing issues with existing products purchased, or that the customer is behind on previous invoices. The lack of a data strategy makes it difficult for business users to turn data into information via reports. Without the key building blocks in place, it is difficult to create key linkages between customer, product, site, supplier and financial data. These linkages make it possible to understand patterns. A well-defined data management strategy is aligned to the business strategy and helps create the governance needed to ensure that data stewardship is in place and data integrity is intact. 3. Almost 60 percent of respondents have no strategy to integrate data across operational applications. Many respondents have several disparate sources of data with no strategy to keep them in sync with each other. Even though there is no clear strategy to integrate the data (see #2 above), the data needs to be synced and cross-referenced to keep the business processes running. About 55 percent of respondents said they perform this integration on an ad hoc basis, and in many cases, it is done manually with the help of Microsoft Excel spreadsheets. For example, a salesperson needs a report on global sales for a specific product, but the product has different product numbers in different countries. Typically, an analyst will pull all the data into Excel, manually create a cross reference for that product, and then aggregate the sales. The exact same procedure has to be followed if the same report is needed the following month. A well-defined consolidation strategy will ensure that a central cross-reference is maintained with updates in any one application being propagated to all the other systems, so that data is synchronized and up to date. This can be done in real time or in batch mode using integration technology. 4. Approximately 50 percent of respondents spend manual efforts cleansing and normalizing data. Information stored in various systems usually follows different standards and formats, making it difficult to match the data. A customer's address can be stored in different ways using a variety of abbreviations -- for example, "av" or "ave" for avenue. Similarly, a product's attributes can be stored in a number of different ways; for example, a size attribute can be stored in inches and can also be entered as "'' ". These types of variations make it difficult to match up data from different sources. Today, most customers rely on manual, heroic efforts to match, cleanse, and de-duplicate data -- clearly not a scalable, sustainable model. To solve this challenge, organizations need the ability to standardize data for customers, products, sites, suppliers and financial accounts; however, less than 10 percent of respondents have technology in place to automatically resolve duplicates. It is no wonder, therefore, that we get communications about products we don't own, at addresses we don't reside, and using channels (like direct mail) we don't like. An all-too-common example of a potential challenge follows: Customers end up receiving duplicate communications, which not only impacts customer satisfaction, but also incurs additional mailing costs. Cleansing, normalizing, and standardizing data will help address most of these issues. 5. Only 10 percent of respondents have the ability to share data that was mastered in a master data hub. Close to 60 percent of respondents have efforts in place that profile, standardize and cleanse data manually, and the output of these efforts are stored in spreadsheets in various parts of the organization. This valuable information is not easily shared with the rest of the organization and, more importantly, this enriched information cannot be sent back to the source systems so that the data is fixed at the source. A key benefit of a master data management strategy is not only to clean the data, but to also share the data back to the source systems as well as other systems that need the information. Aside from the source systems, another key beneficiary of this data is the business intelligence system. Having clean master data as input to business intelligence systems provides more accurate and enhanced reporting.  Characteristics of Stellar MDM When deciding on the right master data management technology, organizations should look for solutions that have four main characteristics: enterprise-grade MDM performance complete technology that can be rapidly deployed and addresses multiple business issues end-to-end MDM process management with data quality monitoring and assurance pre-built MDM business relevant applications with data stores and workflows These master data management capabilities will aid in moving closer to a best-practice maturity level, delivering tremendous efficiencies and savings as well as revenue growth opportunities as a result of better understanding your customers.  Trevor Naidoo is a senior director in Industry Strategy and Insight at Oracle. 

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  • The viability of open source forking

    <b>InfoWorld:</b> "Source code availability is a central factor in establishing trust in the open source community, as knowledge that the source is available can often allay fears about the future of a particular open source project or product. And yet, this trust can often be overstated."

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  • using Team foundation server

    - by joe
    I am using Team foundation server / visual studio as a client, to manage my visual foxpro source code. everytime i "checkout for edit" all my folders and files are read only and when i open my projects, it is like if the project is opened for the first time, asking me if i would like to set the current path as the default path... this is causing other serious problems as bad reference to "missing library files", which are actually not missing. i know Visual foxpro is old stuff...i hope someone who went through the same errors could help me out. thanks a lot guys

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  • Best Open Source Java CMS

    - by LuRsT
    I'm trying to find a good Java cms, I've stumbled uppon some that are quite good like: Apache Lenya, dotCMS, Info Glue, Open Edit, MMBase, Contelligent, Hippo CMS Which on do you guys recommend, or even one that I'm missing, because I have some more that I am studying at the moment. The requirements are that I can build modules for it with ease, and that it is open source and free, and with LDAP support. The problem is that I'm not that into Java in web, that's why I'm having trouble finding a good one. One Java cms like dotNetNuke would be the best. Edit: Jahia is off the list because it has no suport for LDAP (community version) Thanks!

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  • Which open source social networking platform to use?

    - by vrao
    I want to build a highly secure social networking portal. Like other portals, subscriber users should be able to create a topic, discuss topic, share information about them, and have the ability for notifications/alerts. The added feature, I would like to have is to moderate users. Based on the topic of discussion, users will be asked automated questions and their responses will be processed to provide recommendations. I have no knowledge of social networking portal requirements. I will be coding alone and want to have something up and running in about six months. Which is the easiest open source platform that I should use to develop? I know some.net and sql, but I am open to use other platforms. Please give me your recommendations

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