c# ean 13 barcode generator Proportion of Errors Resulting from Faulty Construction in Visual C#.NET

Encoder EAN13 in Visual C#.NET Proportion of Errors Resulting from Faulty Construction

Proportion of Errors Resulting from Faulty Construction
Print GTIN - 13 In C#.NET
Using Barcode creation for .NET framework Control to generate, create GTIN - 13 image in Visual Studio .NET applications.
www.OnBarcode.com
EAN-13 Supplement 5 Reader In Visual C#.NET
Using Barcode decoder for .NET Control to read, scan read, scan image in Visual Studio .NET applications.
www.OnBarcode.com
If the data that classifies errors is inconclusive, so is much of the data that attributes errors to the various development activities. One certainty is that construction always results in a significant number of errors. Sometimes people argue that the errors caused by construction are cheaper to fix than the errors caused by requirements or design. Fixing individual construction errors might be cheaper, but the evidence doesn t support such a claim about the total cost. Here are my conclusions: On small projects, construction defects make up the vast bulk of all errors. In one study of coding errors on a small project (1000 lines of code), 75% of
Encode Bar Code In Visual C#.NET
Using Barcode maker for Visual Studio .NET Control to generate, create bar code image in .NET applications.
www.OnBarcode.com
Recognize Barcode In Visual C#
Using Barcode scanner for .NET framework Control to read, scan read, scan image in Visual Studio .NET applications.
www.OnBarcode.com
8 HARD DATA
European Article Number 13 Encoder In .NET
Using Barcode creation for ASP.NET Control to generate, create GS1 - 13 image in ASP.NET applications.
www.OnBarcode.com
European Article Number 13 Drawer In Visual Studio .NET
Using Barcode creation for VS .NET Control to generate, create EAN-13 Supplement 5 image in .NET framework applications.
www.OnBarcode.com
de Complete
EAN / UCC - 13 Drawer In VB.NET
Using Barcode drawer for Visual Studio .NET Control to generate, create UPC - 13 image in VS .NET applications.
www.OnBarcode.com
Barcode Creator In Visual C#
Using Barcode encoder for VS .NET Control to generate, create bar code image in VS .NET applications.
www.OnBarcode.com
22. Developer Testing
Drawing Linear In Visual C#.NET
Using Barcode creation for .NET framework Control to generate, create Linear Barcode image in .NET applications.
www.OnBarcode.com
Bar Code Encoder In C#
Using Barcode generation for VS .NET Control to generate, create bar code image in Visual Studio .NET applications.
www.OnBarcode.com
Page 24
UCC - 12 Printer In C#
Using Barcode printer for .NET framework Control to generate, create UPC-A Supplement 2 image in VS .NET applications.
www.OnBarcode.com
Encoding ISBN In C#
Using Barcode encoder for .NET Control to generate, create Bookland EAN image in VS .NET applications.
www.OnBarcode.com
defects resulted from coding, compared to 10% from requirements and 15% from design (Jones 1986a). This error breakdown appears to be representative of many small projects. Construction defects account for at least 35% of all defects. Although the proportion of construction defects is smaller on large projects, they still account for at least 35% of all defects (Beizer 1990, Jones 2000). Some researchers have reported proportions in the 75% range even on very large projects (Grady 1987). In general, the better the application area is understood, the better the overall architecture is. Errors then tend to be concentrated in detailed design and coding (Basili and Perricone 1984). Construction errors, though cheaper to fix than requirements and design errors, are still expensive. A study of two very large projects at HewlettPackard found that the average construction defect cost 25 to 50% as much to fix as the average design error (Grady 1987). When the greater number of construction defects was figured into the overall equation, the total cost to fix construction defects was one to two times as much as the cost attributed to design defects.
European Article Number 13 Drawer In VS .NET
Using Barcode generation for .NET Control to generate, create European Article Number 13 image in .NET framework applications.
www.OnBarcode.com
Make Code 128A In None
Using Barcode creation for Software Control to generate, create Code128 image in Software applications.
www.OnBarcode.com
Figure 22-2 provides a rough idea of the relationship between project size and the source of errors.
Create Bar Code In .NET Framework
Using Barcode generator for .NET Control to generate, create barcode image in .NET framework applications.
www.OnBarcode.com
Data Matrix ECC200 Drawer In None
Using Barcode drawer for Font Control to generate, create DataMatrix image in Font applications.
www.OnBarcode.com
100%
QR Code Printer In None
Using Barcode creator for Font Control to generate, create QR Code 2d barcode image in Font applications.
www.OnBarcode.com
QR Code Encoder In None
Using Barcode maker for Online Control to generate, create QR Code 2d barcode image in Online applications.
www.OnBarcode.com
Construction Errors from Each Phase Design
PDF 417 Printer In None
Using Barcode encoder for Online Control to generate, create PDF417 image in Online applications.
www.OnBarcode.com
UCC - 12 Maker In Visual Studio .NET
Using Barcode generation for ASP.NET Control to generate, create UPC Symbol image in ASP.NET applications.
www.OnBarcode.com
On some projects, this percentage of errors may also be from construction.
0% 2K
Analysis 8K 32K 128K Project Size in Lines of Code 512K
F22xx02
Figure 22-2 As the size of the project increases, the proportion of errors committed during construction decreases. Nevertheless, construction errors account for 45-75% of all errors on even the largest projects.
de Complete
22. Developer Testing
Page 25
How Many Errors Should You Expect to Find
The number of errors you should expect to find varies according to the quality of the development process you use. Here s the range of possibility: Industry average experience is about 1 to 25 errors per 1000 lines of code for delivered software. The software has usually been developed using a hodgepodge of techniques (Boehm 1981, Gremillion 1984, Yourdon 1989a, Jones 1998, Jones 2000, Weber 2003). Cases that have one-tenth as many errors as this are rare; cases that have 10 times more tend not to be reported. (They probably aren t ever completed!) The Applications Division at Microsoft experiences about 10 to 20 defects per 1000 lines of code during in-house testing, and 0.5 defect per 1000 lines of code in released product (Moore 1992). The technique used to achieve this level is a combination of the code-reading techniques described in Section 21.4 and independent testing. Harlan Mills pioneered cleanroom development, a technique that has been able to achieve rates as low as 3 defects per 1000 lines of code during inhouse testing, and 0.1 defect per 1000 lines of code in released product (Cobb and Mills 1990). A few projects for example, the space-shuttle software have achieved a level of 0 defects in 500,000 lines of code using a system of formal development methods, peer reviews, and statistical testing (Fishman 1996). Watts Humphrey reports that teams using the Team Software Process (TSP) have achieved defect levels of about 0.06 defects per 1000 lines of code. TSP focuses on training developers not to create defects in the first place (Weber 2003).
8 HARD DATA
9 HARD DATA
The results of the TSP and cleanroom projects confirm the General Principle of Software Quality: It s cheaper to build high-quality software than it is to build and fix low-quality software. Productivity for a fully checked-out, 80,000-line clean-room project was 740 lines of code per work-month. The industry average rate for fully checked out code, is closer to 250-300 lines per work-month, including all non-coding overhead (Cusumano et al 2003). The cost savings and productivity come from the fact that virtually no time is devoted to debugging on TSP or cleanroom projects. No time spent on debugging That is truly a worthy goal!
Copyright © OnBarcode.com . All rights reserved.