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Checkstyle [1] is a static code analysis tool used in software development for checking if Java source code is compliant with specified coding rules. Originally developed by Oliver Burn back in 2001, the project is maintained by a team of developers from around the world.
A 2015 study [1] utilizing automated analysis for half a million source code commits and the manual examination of 9,164 commits determined to exhibit "code smells" found that: There exists empirical evidence for the consequences of "technical debt", but there exists only anecdotal evidence as to how , when , or why this occurs.
Phrases used by the tech savvy to mean that a problem is caused entirely by the fault of the user include PEBKAC [8] (an acronym for "problem exists between keyboard and chair"), PEBCAK [9] (an alternative, but similar, acronym for "problem exists between chair and keyboard"), POBCAK (a US government/military acronym for "problem occurs between ...
Reducing the cost of software maintenance is the most often cited reason for following coding conventions. In the introductory section on code conventions for the Java programming language, Sun Microsystems offers the following reasoning: [2]
And in case of more than 1 error, this decoder outputs 28 erasures. The deinterleaver at the succeeding stage distributes these erasures across 28 D2 codewords. Again in most solutions, D2 is set to deal with erasures only (a simpler and less expensive solution). If more than 4 erasures were to be encountered, 24 erasures are output by D2.
See Major violations. FIU: 32 regular-season wins vacated covering four seasons from 2003 to 2006. California: 29 games (28 regular-season wins forfeited and 1 regular-season loss) vacated from the 1995 and 1996 season. Georgia Southern: Vacated 27 regular-season wins from the 2008 and 2009 seasons.
The Nelson rules were first published in the October 1984 issue of the Journal of Quality Technology in an article by Lloyd S Nelson. [2] The rules are applied to a control chart on which the magnitude of some variable is plotted against time. The rules are based on the mean value and the standard deviation of the samples.
Rather, a number of variables or circumstances uncontrolled for (or uncontrollable) may lead to additional or alternative explanations (a) for the effects found and/or (b) for the magnitude of the effects found. Internal validity, therefore, is more a matter of degree than of either-or, and that is exactly why research designs other than true ...