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  • How to manage a Closed Source High-Risk Project?

    - by abel
    I am currently planning to develop a J2EE website and wish to bring in 1 developer and 1 web designer to assist me. The project is a financial app with a niche market. I plan to keep the source closed . However, I fear that my would-be employees could easily copy the codebase and use it /sell it to a third party especially when they switch jobs. The app development will take 4-6months and perhaps more and I may have to bring in people after the app goes live. How do I keep the source to myself. Are there techniques companies use to guard their source. I foresee disabling pendrives and dvd writers on my development machines, but uploading data or attaching the code in one's mail would still be possible. My question is incomplete. But programmers who have been in my situation, please advice. How should I go about this? Building a team, maintaining code-secrecy,etc. I am looking forward to sign a secrecy contract with the employees if needed too. (Please add relevant tags) Update Thank you for all the answers. I certainly won't be disabling all USB ports and DVD writers now. But I think I should be logging activity(How exactly should I do that?) I am wary of scalpers who would join and then run off with the existing code. I haven't met any, but I have been advised to be wary of them. I would include a secrecy clause, but given this is a startup with almost no funding and in a highly competitive business niche with bigger players in the field, I doubt I would be able to detect or pursue any scalpers. How do I hire people I trust, when I don't know them personally. Their resume will be helpful but otherwise trust will develop only with time. But finally even if they do run away with the code, it is service that matters after the sale is made. So I am not really worried for the long term.

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  • Synonyms made easy

    The Custom Search team is always working to provide more relevant results, and improving user queries is a big part of that goal. We've shown you how to...

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  • Naming your unit tests

    - by kerry
    When you create a test for your class, what kind of naming convention do you use for the tests? How thorough are your tests? I have lately switched from the conventional camel case test names to lower case letters with underscores. I have found this increases the readability and causes me to write better tests. A simple utility class: public class ArrayUtils { public static T[] gimmeASlice(T[] anArray, Integer start, Integer end) { // implementation (feeling lazy today) } } I have seen some people who would write a test like this: public class ArrayUtilsTest { @Test public void testGimmeASliceMethod() { // do some tests } } A more thorough and readable test would be: public class ArrayUtilsTest { @Test public void gimmeASlice_returns_appropriate_slice() { // ... } @Test public void gimmeASlice_throws_NullPointerException_when_passed_null() { // ... } @Test public void gimmeASlice_returns_end_of_array_when_slice_is_partly_out_of_bounds() { // ... } @Test public void gimmeASlice_returns_empty_array_when_slice_is_completely_out_of_bounds() { // ... } } Looking at this test, you have no doubt what the method is supposed to do. And, when one fails, you will know exactly what the issue is.

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  • Google BigQuery - Best Practices for Loading your Data and open Office Hours

    Google BigQuery - Best Practices for Loading your Data and open Office Hours Michael Manoochehri and Ryan Boyd from the DevRel team for cloud data services will be streaming to you live! They'll be discussing how to load your data into BigQuery and the various options available -- from commercial ETL tools to App Engine's Pipeline API and MapReduce frameworks, to simple UNIX command-line tools. They'll then open it up for a general office hours on ingestion and other topics. Please use the moderator link to ask your questions. From: GoogleDevelopers Views: 0 0 ratings Time: 00:00 More in Science & Technology

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  • Should I keep investing into data structures and algorithms?

    - by 4bu3li
    These days, I'm investing heavily in data structures and algorithms and trying to solve some programming puzzles. I'm trying to code and solve with Java and Clojure. Am I wasting my time? should I invest more in technologies and frameworks that I already know in order to gain deeper knowledge (the ins and the outs) and be able to code with them more quickly? By studying data structures and algorithms, am I going to become a better programmer or those subjects are only important during college years?

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  • Accessing SQL Server data from iOS apps

    - by RobertChipperfield
    Almost all mobile apps need access to external data to be valuable. With a huge amount of existing business data residing in Microsoft SQL Server databases, and an ever-increasing drive to make more and more available to mobile users, how do you marry the rather separate worlds of Microsoft's SQL Server and Apple's iOS devices? The classic answer: write a web service layer Look at any of the questions on this topic asked in Internet discussion forums, and you'll inevitably see the answer, "just write a web service and use that!". But what does this process gain? For a well-designed database with a solid security model, and business logic in the database, writing a custom web service on top of this just to access some of the data from a different platform seems inefficient and unnecessary. Desktop applications interact with the SQL Server directly - why should mobile apps be any different? The better answer: the iSql SDK Working along the lines of "if you do something more than once, make it shared," we set about coming up with a better solution for the general case. And so the iSql SDK was born: sitting between SQL Server and your iOS apps, it provides the simple API you're used to if you've been developing desktop apps using the Microsoft SQL Native Client. It turns out a web service remained a sensible idea: HTTP is much more suited to the Big Bad Internet than SQL Server's native TDS protocol, removing the need for complex configuration, firewall configuration, and the like. However, rather than writing a web service for every app that needs data access, we made the web service generic, serving only as a proxy between the SQL Server and a client library integrated into the iPhone or iPad app. This client library handles all the network communication, and provides a clean API. OSQL in 25 lines of code As an example of how to use the API, I put together a very simple app that allowed the user to enter one or more SQL statements, and displayed the results in a rather primitively formatted text field. The total amount of Objective-C code responsible for doing the work? About 25 lines. You can see this in action in the demo video. Beta out now - your chance to give us your suggestions! We've released the iSql SDK as a beta on the MobileFoo website: you're welcome to download a copy, have a play in your own apps, and let us know what we've missed using the Feedback button on the site. Software development should be fun and rewarding: no-one wants to spend their time writing boiler-plate code over and over again, so stop writing the same web service code, and start doing exciting things in the new world of mobile data!

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  • Google I/O 2012 - Data Driven Storytelling

    Google I/O 2012 - Data Driven Storytelling Michael Fink, Yinnon Haviv, Dani Bacon From a single chart to elaborate data driven storytelling, Google Chart Tools now provides a crisp and accessible experience based on our new HTML5 gallery. Come and learn how you can use animations, annotations and other visual semantics and to take user-interaction with rich data, to the next level. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 563 10 ratings Time: 53:05 More in Science & Technology

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  • Google I/O 2012 - Google Compute Engine -- Technical Details

    Google I/O 2012 - Google Compute Engine -- Technical Details Joe Beda, Evan Anderson This session will provide an in depth overview of Google Compute Engine. Google Compute provides Virtual Machines optimized for large scale data processing and analytics. We will dive into the core concepts, API, unique features and architectural best practices in the context of concrete examples. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 2497 88 ratings Time: 01:01:39 More in Science & Technology

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