It refers to the ratio of functional or technical defects found in software or components related to the entire software application over a certain period. Defect density is considered an industry standard for software and its component development. It comprises a development process to calculate the number of defects allowing developers to determine the weak areas that require robust testing.
![definition of defect 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)
Parts for replacement are being arranged and authorised workshops shall be contacting the customers for attending their vehicles, the company said adding “necessary repair, if required, will be undertaken post inspection”. This process doesn’t consider the specification-based techniques that follow use cases and documents. Another factor that affects the metrics of defect density is the usability of the software under development. As a module with high defect density requires mending and work, defect density helps in identifying them and promotes call for action. Though this metric may seem insignificant to the majority of people, it is a key quality indicator. Parts for replacement are being arranged and authorised workshops shall be contacting the customers for attending their vehicles, the company said adding « necessary repair, if required, will be undertaken post inspection ».
How to calculate Defect Density
Considerable efforts have been made to relieve substrate-dependent growth issues resulting in a variety of LED epitaxial configurations. It is a process of calculating the number of defects per development, which helps software engineers in determining the areas that are weak as well as that require rigorous testing. Collect the raw material, i.e., testers will require the total number of defects detected while developing the software product.
The defect density process helps developers to determine how a reduction affects the software quality-wise. It also helps in measuring the test effectiveness and areas for improvements can easily be identified. Studies show that one defect per thousand lines of code is generally considered a good sign of project quality.
To find the density, divide the number of defective units by the total number of units produced. The number of defects detected in the component or system divided by the component size or system . Thus, a camera imaging angle of a single crystal during pulling is ensured, and the size and density of defects in the single crystal can be made as desired. An experimental tool called positron annihilation spectroscopy is used in materials research to detect variations in density, defects, displacements, or even voids, within a solid material.
Also, identifying defect prone components is made easy through defect density, which allows the testers to focus the limited resources into areas with the highest potential return on the investment. This further helps organisations and their businesses reach great heights of success, as they are able to deliver software and applications that are secure, safe, bug free and more. Defect Density is the number of confirmed defects detected in the software or a component during a defined period of development or operation, divided by the size of the software. It is one such process that enables one to decide if a piece of software is ready to be released.
This helps developers trace the affected areas properly, allowing them to achieve highly accurate results. Software is tested based on its quality, scalability, features, security, and performance, including other essential elements. However, developers must ensure they are taken care of before launching it to the end-users. This is because fixing an error at an early stage will cost significantly less than rectifying it at a later stage.
As a result, it allows testers to focus on the right areas and give the best investment return at limited resources. Developers and testers can estimate the testing and rework required due to bugs and errors in the software. Multiple systems of https://globalcloudteam.com/ more than 1000 small robots have been demonstrated, and processes for testing, microassembly, and joining have been developed. This chapter discusses challenges and opportunities in the exciting new field of microrobotic additive manufacturing.
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This method can lead to the growth of a thin, low defect density seed layer of SiC on which thicker epitaxial SiC layers may grow. The larger modules can be broken into smaller modules and smaller modules can be merged to minimize the overall defect density. For example, if 30 units are produced and a total of 60 defects have been found, the DPU equals 2. To measure defect density, you need to have the data on the number of defective units of a single product, as well as the total number of units produced.
![definition of defect density](data:image/jpeg;base64,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Nonconformity or “Nonconformities” means any failure or failures of the Software to conform to the requirements of this Contract, including any applicable Documentation. Explore the possibility to hire a dedicated R&D team that helps your company to scale product development. The present invention addresses the problem of providing an even semipermeable membrane supporting body which does not have low-density defects and does not cause defects in a semipermeable membrane coating layer when coating a semipermeable membrane coating solution. Particulate matter emissions means the mass of any particulate material from the vehicle exhaust quantified according to the dilution, sampling and measurement methods as specified in this UN GTR. The main defects of high density reported are dislocations, stacking faults, micro-twins and cavities.
Let us take an example of a software application that has been integrated with three modules and the number of bugs the tester found in each module. BJP’s Nadda to visit Bengal amid internal rumblings, infighting & defection in partyNadda will take stock of the situation at the party in Bengal during his visit. He will hold a closed-door meeting with party leaders at the National Library community hall on Wednesday to boost the party’s morale and take stock of the situation, sources told ET. In order to reduce the defect density of the overgrowth, a masking layer consisting of an essentially amorphous material is deposited directly on the III-V germination layer or directly on the substrate, said masking layer partially covering or approximately partially covering the germination layer.
What is Defect Density? Definition of Defect Density, Defect Density Meaning
Although one can use the defect-based technique at any level of testing, most testers preferred it during systems testing. This is because testers can base their test cases on defect taxonomies and root cause analysis. Nonconforming lot means a lot that met dimensional requirements of the applicable master program at the time of its establishment but now contains less than the required width, depth or area due to subsequent changes to the master program.
![definition of defect 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)
For comparing software/ products so that quality of each software/ product can be quantified and resources focused towards those with low quality. Parameters such as strength, piezoelectricity, fatigue strength, and many others exhibit this behavior. Outside the microworld, however, efforts to exploit these properties directly have been stymied by the challenges of identifying defect-free particles and then combining them in sufficient numbers to be useful. Recently, progress has been made in microrobotics that may change the practicality of addressing these large-number problems. In order to retain maintainability of the code, reasonable adaptability of the tools, and acceptable software development costs, the same disciplines that have been developed for large military and commercial software systems should be applied to inspection equipment.
Conductivity (35W/mK) of the sapphire substrate will result in the accumulation of heat within the device, leading to a diffusion of the dopants. At the same time, the melting of the metallic contact may also occur, creating permanent failure of LEDs. According to the invention, then, the amorphous Si emitter layer has a low defect density n of less than 1019 cm-3 and is characterized by an Urbach energy of less than 90 meV and the Fermi level is near the valence – or conduction band edge of the amorphous Si emitter layer. The key objective was to reduce the defect density by several orders of magnitude in order to exploit the high electron mobility, large size and lower cost of the new material.
Definition of defect density words
Aiming at the reduction of the defect density, the FLASiC-project developed a new process to produce epitaxial and bulk 3C-SiC on Si or silicon-on-insulator substrates. The everyday work of the software development specialists coupled with specialized vocabulary usage. Situations of misunderstanding between clients and team members could definition of defect density lead to an increase in overall project time. In the glossary we gather the main specialized terms that are frequently used in the working process. All meanings are written according to their generally accepted international interpretation. For convenience, you can use the search bar to simplify and speed up the search process.
By detecting defects and errors during the early stages of software development one can ensure the quality, performance, scalability, features, security, as well as other important elements of the software. Moreover, by conducting defect detection software developers can validate whether the application is being built as per the demands of the client and make all the necessary changes if required. To ensure that the product’s effectiveness is apt and correct, software engineers use defect density, which is a metric that states, “The more defects in the software, the lower the quality is”. Defect density is used to test software applications and modules relative to its known defects.
Therefore, it calculates the defects that are in the software product divided by the total size of the software or a component being measured. With the assistance of this metric, software engineers, developer, testers and more can measure the testing effectiveness and differentiate defects in components or software modules. Organizations also prefer defect density to release a product subsequently and compare them in terms of performance, security, quality, scalability, etc.
- Contamination means the presence of, or Release on, under, from or to the environment of any Hazardous Substance, except the routine storage and use of Hazardous Substances from time to time in the ordinary course of business, in compliance with Environmental Laws and with good commercial practice.
- However, there is no fixed standard for bug density, studies suggest that one Defect per thousand lines of code is generally considered as a sign of good project quality.
- Above all, the efficiency and performance of the software remain the biggest factor that affects the defect density process.
- Although defect density evaluation methods can vary, it is calculated by dividing the number of defects by the total size of the software or component.
- With the assistance of defect density, one can differentiate defects in components/software modules.
- It is important to perform an optimization of the electrode placement in the design of the physical device as it plays a role in reducing the current crowding.
- Recently, progress has been made in microrobotics that may change the practicality of addressing these large-number problems.
Defect density is a software testing and quality assurance method used to find the intensity and concentration of logical flaws in a software program, component or product. All validated or confirmed defects are included, whereas software size may be in the form of function points or source lines of code . A recognised industry standard, Defect Density is a metric that states that “The more defects in the software, the lower the quality is”.
Reliability of nitride LEDs
By using the drawing dice, the brass-plated steel wire is drawn, and a noncrystalline portion of high lattice defect density is formed on the surface of a crystalline portion of the brass-plating layer of the brass-plated steel wire . The defect-introduced layer has a higher crystal defect density compared with the crystal defect densities of the first nitride semiconductor layer and the second nitride semiconductor layer . The process can prevent defects attributable to seed touch in which seed crystals are brought into contact with a solution to grow SiC single crystals with reduced defect density. It also helped to improve the material growth processes, leading to a much lower defect density within the material.
Evaluation of Crystalline Defects in Thin, Strained Silicon-Germanium Epitaxial Layers by Optical Shallow Defect Analyzer
In addition to building below defect densities, we also discuss closely related heterogeneous microassembly, potentially enabling complex systems, including other robots, to be built with optimized geometric and material performance. Defect density is considered one of the most efficient testing techniques in the overall process of the software development process. While this practice is considered unnecessary by some software engineers, but it is still revered as the best way to identify bugs and errors in software.
Although defect density evaluation methods can vary, it is calculated by dividing the number of defects by the total size of the software or component. However, once developers set up common defects, they can use this model to predict the remaining defects. Using this method, developers can establish a database of common defect densities to determine the productivity and quality of the product.
Thus, most impurities are inactive, and are in bonding configurations that do not dope. The relation between pulling rate and the temperature of precipitate formation , the average precipitate diameter and their density . The defect density and mechanical condition of the bulk material which permits the Pd lattice to withstand and contains high bulk deuterium activities when D atoms equilibrate to produce extreme pressures of D2 gas inside closed incipient voids within the metal. With the non-polar blue LED epitaxial wafer based on the LAO substrate and the preparation method thereof, the non-polar blue LED epitaxial wafer has the advantages of low defect density, good crystal quality and good luminous performance; and the preparation cost is low. Maruti Suzuki recalls 9,925 units 3 models to rectify possible defect in brake assemblyConsidering the safety of customers and out of abundant precaution, the company has decided to recall the suspected vehicles for inspection and replacement of the faulty part, free of cost, it added.
During this time, the LED will still function normally, but its performance will gradually deteriorate. The high defect density combined with wafer bending caused by thermal stress accumulation during the annealing cycles results in strained crystalline layers of poor quality, precluding device fabrication until now. Now that you have the total defects and total lines of code, you can calculate the defect density of your program. For example, if you had five defects and 1,000 lines of code, you would divide five by 1,000. This technique can be conducted along with test deriving conditions and used to enhance testing coverage. It can also be used once testers identify all test conditions and test cases to gain additional insight into the whole testing process.