Software Quality KPIs: A Complete Guide
软件质量KPI：完整指南

What are the software quality KPIs that you need to know, to evaluate the quality of a software development process? How does it help us to plan and control the lifecycle of the software development process?
为了评估软件开发过程的质量，您需要知道哪些软件质量KPI？它如何帮助我们计划和控制软件开发过程的生命周期？

Let’s dive in. 我们开始吧。

Software quality KPIs help determine the overall quality of a software development process. It reveals the extent, amount, capacity, dimension, and various other attributes of a software process. It also helps in enhancing the effectiveness and efficiency of the software.
软件质量KPI有助于确定软件开发过程的整体质量。它揭示了软件过程的范围、数量、容量、维度和其他各种属性。它还有助于提高软件的有效性和效率。

In this post, we will look thoroughly into the various metrics to evaluate the quality of software. The software development team and quality assurance team work in coherence to ensure the highest quality standards for software depending on the methodology.
在这篇文章中，我们将深入研究评估软件质量的各种指标。软件开发团队和质量保证团队协调一致地工作，以确保软件的最高质量标准取决于方法。

Below listed are top software quality KPIs to determine how well the software meets the functional and non-functional requirements:
下面列出的是顶级软件质量KPI，用于确定软件满足功能和非功能需求的程度：

Code Quality Metrics 代码质量

Code quality is an important metric to measure the overall software quality. It signifies how safe, secure, and reliable your codebase is.
代码质量是衡量软件整体质量的重要指标。它表示您的代码库有多安全，可靠和可靠。

Here are five key elements to measure your code for high quality:
这里有五个关键因素来衡量你的代码的高质量：

Reliability 可靠性

Reliability analyzes the probability of a system to run without any failure for a specific term of operation. It indicates the total number of defects and software availability.
可靠性分析了系统在特定操作期限内无任何故障运行的概率。它表示缺陷总数和软件可用性。

Usually, the number of defects can be calculated by running a static analysis tool. The software available can be calculated by finding out the mean time between failures (MTBF). Ensure to have a low defect count for developing a reliable codebase.
通常，缺陷的数量可以通过运行静态分析工具来计算。可用的软件可以通过找出平均故障间隔时间（MTBF）来计算。确保在开发可靠的代码库时有一个低缺陷计数。

Maintainability 维护性

Maintainability reflects the ease of use in maintaining software. It further looks for the size, consistency, structure, and complexity of the codebase. A maintainable source code depends on factors like testability and understandability.
可维护性反映了维护软件的易用性。它进一步寻找代码库的大小，一致性，结构和复杂性。一个可维护的源代码取决于可测试性和可理解性等因素。

There is no single metric to ensure software maintainability. Some other metrics like stylistic warnings and Halstead complexity also help enhance the maintainability. Both automation and human reviewers alike are crucial for developing maintainable codebases.
没有单一的度量标准来确保软件的可维护性。其他一些指标，如风格警告和Halstead复杂性，也有助于增强可维护性。自动化和人工评审对于开发主代码库都是至关重要的。

Testability 测试性

Testability defines the capability of how well the software aids the testing efforts. It depends on how easily you can handle, observe, isolate, and automate the overall testing process.
可测试性定义了软件辅助测试工作的能力。这取决于您处理、观察、隔离和自动化整个测试过程的容易程度。

Testability is calculated depending on how many test cases you have to find potential faults in the system. Besides, the software size and complexity also have an influence on testability. Applying code-level methods like cyclomatic complexity can help enhance the testability of software.
可测试性的计算取决于您必须找到系统中潜在故障的测试用例的数量。此外，软件的规模和复杂性也对可测试性有影响。应用像圈复杂度这样的代码级方法可以帮助增强软件的可测试性。

Portability 便携性

Portability calculates the utility of the same software in diverse platforms. In short, it indicates platform independence.
可移植性计算了同一软件在不同平台上的效用。简而言之，它表明了平台独立性。

TBH, there isn’t any specific degree of portability. But there are a lot of options to ensure portable code for different platforms. So, it’s better to regularly test code on various platforms, instead of waiting until the development ends. Most testers prefer to set their compiler levels as high as possible. They choose to use at least two compilers for better portability. Maintaining a coding standard also helps with portability.
TBH，没有任何特定程度的可移植性。但是有很多选项可以确保代码在不同平台上的可移植性。因此，最好定期在各种平台上测试代码，而不是等到开发结束。大多数测试人员喜欢将他们的编译器级别设置得尽可能高。他们选择使用至少两个编译器以获得更好的可移植性。维护编码标准也有助于可移植性。

Reusability 重用性

The reusability tells us if existing resources such as code can be used again. Resources with modularity and loose coupling are easier to use.
可重用性告诉我们现有的资源，如代码，是否可以再次使用。模块化和松耦合的资源更易于使用。

Reusability is calculated by the total number of independencies. Running a static analyzer is helpful to find these interdependencies.
可重用性由独立性的总数计算。运行静态分析器有助于找到这些相互依赖性。

Interested Read: Is Hiring Offshore Talent Right for Your Startup?
感兴趣的阅读：雇用离岸人才适合你的创业公司吗？

Software Testing Metrics
软件测试

What are software testing metrics? What role does it play in the software development process? It helps project managers plan and runs the software development process in making crucial decisions about process changes. In a nutshell, it helps keep track of the project’s health and monitor team productivity.
什么是软件测试度量？它在软件开发过程中扮演什么角色？它帮助项目经理计划和运行软件开发过程，以做出有关过程更改的关键决策。简而言之，它有助于跟踪项目的健康状况并监控团队的生产力。

Analyzing these metrics helps build soft skills for test engineers and skyrocket their career growth in no time. Of course, this is an added advantage for engineers. Let’s understand them one by one.
分析这些指标有助于培养测试工程师的软技能，并在短时间内迅速提升他们的职业发展。当然，这对工程师来说是一个额外的优势。让我们逐一了解它们。

1. Derivative Metrics 1.导数导数

The derivative metrics highlight the various areas that bear issues in the software testing process. It also guides the team to use concrete steps to enhance the accuracy of the testing.
衍生度量突出了软件测试过程中存在问题的各个领域。它还指导团队使用具体步骤来提高测试的准确性。

2. Defect Density 2.缺陷密度

Defect density, another software testing metrics, helps the testing team find the number of defects in software during the software development process. The results then matched with the overall module size reveal if the software is all set for the release. It is the metric that also hints to the team whether it requires more testing for accuracy.
缺陷密度是软件测试的另一个度量标准，它帮助测试团队在软件开发过程中发现软件中的缺陷数量。然后将结果与整体模块大小相匹配，以显示软件是否为发布做好了所有准备。它也是向团队提示是否需要进行更多准确性测试的指标。

The defect density of any software gets evaluated for a minimum of thousand lines of code, also known as KLOC. Here is its formula.
任何软件的缺陷密度都是针对至少上千行代码进行评估的，也称为KISK。这是它的公式。

Defect Density = Defect Count/Size of the Software Module
缺陷密度=缺陷计数/软件模块大小

3. Defect Leakage 3.缺陷泄漏

Defect leakage is another crucial metric that requires testing by the testing team during the testing process. It allows the software testers to analyze the efficiency of the software testing process before the user acceptance testing (UAT) phase of a product. In some cases, the team of testers fails to detect defects. It gets pointed out by the user, called defect leakage or bug leakage.
缺陷泄漏是另一个重要的度量标准，需要测试团队在测试过程中进行测试。它允许软件测试人员在产品的用户验收测试（UAT）阶段之前分析软件测试过程的效率。在某些情况下，测试人员团队无法检测到缺陷。它被用户指出，称为缺陷泄漏或bug泄漏。

Defect Leakage = (Total Defects Seen in UAT/ Total Defects Found Before UAT) x 100
缺陷泄漏=（UAT中发现的缺陷总数/UAT前发现的缺陷总数）x 100

4. Defect Removal Efficiency
4.缺陷去除效率

The ability of the software development team to remove various defects from the module is defect removal efficiency (DRE). Please note that the process runs before the software release.The number of defects per test type across the various test phases is the DRE. It reveals the efficiency of all the defect removal methods taken up by the test team. In short, it is a resulting parameter to assess the quality and performance of the software.
软件开发团队从模块中删除各种缺陷的能力是缺陷删除效率（DRE）。请注意，该过程在软件发布之前运行。在各个测试阶段中，每个测试类型的缺陷数量是DRE。它揭示了测试团队采用的所有缺陷消除方法的效率。简而言之，它是评估软件质量和性能的结果参数。

DRE: Total defects fixed by the development team/ Total defects found at the time of evaluation.
DRE：开发团队修复的缺陷总数/评估时发现的缺陷总数。

5. Defect Category 5.缺陷类别

It is one of the most crucial metrics for software evaluation in the software development life cycle. The defect category provides some great insights about the software quality attributes like its utility, feasibility, performance, credibility, and much more. In a nutshell, the defect category refers to the defects regarding the quality attributes of the software product. It gets evaluated with the given formula:
它是软件开发生命周期中最重要的软件评估指标之一。缺陷类别提供了一些关于软件质量属性的重要见解，如实用性，可行性，性能，可信度等等。简单地说，缺陷类别是指与软件产品质量属性有关的缺陷。它用给定的公式计算：

Defect Category = Defects associated with a particular category/ Total count of defects
缺陷类别=与特定类别相关的缺陷/缺陷总数

6. Defect Severity Index 6.缺陷严重度指数

The degree of impact a defect has on software development is the defect severity index. Also known as DSI, it offers findings of the product quality under test and helps ascertain the ability of the test team’s efforts. It aids the team in calculating the degree of the negative impact a defect has on the quality and performance of the software.
缺陷对软件开发的影响程度是缺陷严重性指数。也被称为DSI，它提供测试中的产品质量结果，并帮助确定测试团队的工作能力。它帮助团队计算缺陷对软件质量和性能的负面影响程度。

Defect Severity Index = Sum of (Defect * Severity Level)/ Total Defects
缺陷严重度指数=（缺陷 * 严重度水平）之和/缺陷总数

7. Review Efficiency 7.复习效率

Review efficiency is a great metric that helps to curtail the pre-delivery defects in a software product. Using this metric helps the team reduce the cost and the efforts required in error rectification. Besides, it helps prevent defect leakage in the testing stages and establishes the test case effectiveness. Here is the formula to find the review efficiency for any software module in a final testing phase.
评审效率是一个很好的度量标准，它有助于减少软件产品中交付前的缺陷。使用这个度量标准可以帮助团队减少错误纠正所需的成本和工作量。此外，它有助于防止测试阶段的缺陷泄漏，并建立测试用例的有效性。下面是在最终测试阶段中找到任何软件模块的评审效率的公式。

Review Efficiency (RE) = Total Count of review defects / (Total amount of review defects + Total amount of testing defects) x 100
评审效率（RE）=评审缺陷总数/（评审缺陷总数+测试缺陷总数）x 100

8. Test Case Effectiveness
8.测试用例有效性

This metric intends to tell us the efficiency of the test cases accomplished by the testing team across every testing phase. It helps in the evaluation of the quality of the test cases.
这个度量旨在告诉我们测试团队在每个测试阶段完成的测试用例的效率。它有助于评估测试用例的质量。

Test Case Effectiveness = (Total detects detected / Count of active test cases) x 100
测试用例有效性=（检测到的检测总数/活动测试用例计数）x 100

9. Test Case Productivity
9.测试用例生产力

As the name suggests, this metric helps calculate the number of test cases taken by the testers. It also covers the work done by them during the process. Besides, it helps in estimating the test case design productivity. It is also a basic input for measurement and estimation forecasts.Here is the formula to calculate test case productivity:
顾名思义，这个度量有助于计算测试人员采用的测试用例的数量。它还包括他们在这一过程中所做的工作。此外，它有助于估计测试用例设计的生产力。它也是测量和估计预测的基本输入。下面是计算测试用例生产率的公式：

Test Case Productivity = (Total Test Cases / Work Done For Test Case Preparation)
测试用例生产率=（测试用例总数/测试用例准备工作完成量）

10. Test Coverage 10.测试覆盖

Test coverage outlines the extent to which the functionality of a software product gets covered. It is one of the crucial metrics that signal the execution of testing operations. It is a factor to conclude the testing process as well. Here is the formula to evaluate test coverage:
测试覆盖率概括了软件产品的功能被覆盖的程度。它是测试操作执行的关键指标之一。这也是结束测试过程的一个因素。下面是评估测试覆盖率的公式：

Test Coverage = Total Faults Detected / Predicted Defects
测试覆盖率=检测到的故障总数/预测的缺陷

Here is another formula to calculate it:
这里有另一个公式来计算它：

Required Coverage = (Total requirements covered / Total count of requirements) x 100
需求覆盖率=（覆盖的需求总数/需求总数）x 100

11. Test Design Coverage 11.测试设计覆盖范围

Much like the test coverage, this indicator determines the percentage of test cases coverage out of the total requirements. It helps in calculating the performance coverage of the test cases designed and enhances the test coverage. The metric is usually found by the team along the test design stage and in percentage. Here is the formula for test design coverage:
与测试覆盖率非常相似，该指标确定了测试用例覆盖率占总需求的百分比。它有助于计算所设计的测试用例的性能覆盖率，并增强测试覆盖率。度量通常由团队在测试设计阶段沿着以百分比的形式发现。下面是测试设计覆盖率的公式：

Test Design Coverage = (Total count of requirements connected to test cases / Total requirement count) x 100
测试设计覆盖率=（连接到测试用例的需求总数/需求总数）x 100

12. Test Execution Coverage
12.测试执行覆盖率

The test execution coverage metric gives us an idea about the total test cases completed and the count of cases left pending. It asserts the testing coverage along with the test execution, with the help of this formula:
测试执行覆盖率度量给我们一个关于完成的总测试用例和未决用例的计数的概念。它断言测试覆盖率沿着测试执行，并借助以下公式：

Test Execution Coverage = (Total completed test cases or scripts / Total number of test cases or scripts in the pipeline for execution) x 100
测试执行覆盖率=（已完成的测试用例或脚本总数/管道中待执行的测试用例或脚本总数）x 100

13. Test Tracking & Efficiency
13.测试跟踪和效率

The test efficiency is a crucial factor that keeps all the activities of the testing team in line with the desired result. It makes sure the quality attributes of the testing team are efficient. Here are some software testing metrics that help in tracking and efficiency of software testing:
测试效率是保持测试团队的所有活动符合预期结果的关键因素。它确保测试团队的质量属性是有效的。以下是一些有助于跟踪和提高软件测试效率的软件测试指标：

• Passed Test Cases Coverage: It evaluates the percentage of passed test cases.
  通过的测试用例覆盖率：它评估通过的测试用例的百分比。
  (Passed test count / Total count of tests executed) x 100
  （通过的测试计数/执行的测试总数）x 100
• Failed Test Case Coverage: It gauges the percentage of all the failed test cases.
  失败的测试用例覆盖率：它衡量所有失败的测试用例的百分比。
  (Failed test count / Total count of test cases failed) x 100
  （未通过的测试计数/未通过的测试用例总数）x 100
• Test Cases Blocked: It measures the percentage of test cases blocked through the software testing process. (Count of blocked tests / Total number of tests completed) x 100
  测试用例阻塞：它衡量了在软件测试过程中测试用例阻塞的百分比。（阻塞测试计数/完成测试总数）x 100
• Fixed Defects Percentage: This metric helps the team identify the percentage of fixed defects.
  Fixed Defects Percentage：这个指标帮助团队确定修复缺陷的百分比。
  (Fixed Defects / Total reported defects) x 100
  （已修复缺陷/报告缺陷总数）x 100
• Accepted Defects Percentage: It means to mention the total number of defects acknowledged by the development team. Here is the formula to measure accepted defects percentage:
  Accepted Defects Percentage：指开发团队承认的缺陷总数。以下是衡量接受缺陷百分比的公式：
  (Defects accepted as legit / Total defect reported) x 100
  （合法接受的缺陷/报告的总缺陷）x 100
• Defects Rejected Percentage: It is the percentage of defects rejected by the development team under the test track and efficiency process.
  Defects Rejected Percentage：开发团队在测试跟踪和效率流程下拒绝的缺陷百分比。
  (Total defects ignored by the development team/total reported defects) x 100
  （开发团队忽略的缺陷总数/报告的缺陷总数）x 100
• Defects Deferred Percentage: It concludes the percentage of defects delayed by the team for future releases.
  Defects Deferred Percentage：它总结了团队为未来版本延迟的缺陷的百分比。
  (Defects deferred for future releases / Total defects reported) x 100
  （延迟到未来版本的缺陷/报告的缺陷总数）x 100
• Critical Defects Percentage: It ideates the percentage of critical defects in software.
  关键缺陷百分比：它表示软件中关键缺陷的百分比。
  (Critical defects / Total reported defects) x 100
  （严重缺陷/报告缺陷总数）x 100
• Average Time Taken To Correct Defects: This formula helps team members to calculate the average time taken in the development and testing phases to correct the defects.
  修正缺陷所花费的平均时间：这个公式帮助团队成员计算在开发和测试阶段修正缺陷所花费的平均时间。
  (Total time taken for bug fixes / Total bugs count)
  （bug修复所用的总时间/bug总数）

14.  Test Effort Percentage
14. 测试工作量百分比

Test efforts percentage evaluates the pre-testing process estimation versus the actual efforts put in by the testers. It helps to understand the changes and polarities in the testing and estimates connate projects in the coming time. Much like the test efficiency metrics, the test efforts gets calculated with the help of various such metrics:
测试工作百分比评估测试前的过程估计与测试人员投入的实际工作。它有助于理解测试中的变化和极性，并在未来的时间内估计先天项目。就像测试效率度量一样，测试工作量也是在各种度量的帮助下计算的：

• Count of Test Run Per Time-Period: It means counting the number of tests executed in a specific time frame.
  每个时间段的测试运行计数：它意味着统计在特定时间段内执行的测试数量。
  (Count of test run / Total time)
  （试运行次数/总时间）
• Test Design Efficiency: This metric focuses on finding out the design efficiency of an executed test.
  测试设计效率：这个指标关注于找出一个已执行测试的设计效率。
  (Total test run / Total time)
  （总试运行/总时间）
• Bug Find Rate: Another prominent metric used in the test effort percentage is bug find rate. It checks the number of bugs/errors identified by the team in the testing process.
  Bug发现率：测试工作百分比中使用的另一个重要指标是Bug发现率。它检查团队在测试过程中识别的bug/错误的数量。
  (Total amount of bugs / Total test hours)
  （错误总数/总测试小时数）
• Bug Count Per Test: It tells us the number of bugs found in every test stage.
  每次测试的bug计数：它告诉我们在每个测试阶段发现的bug的数量。
  (Total defects count / Total test count)
  （缺陷总数/测试总数）
• Average Test Time For A Bug Fix: After calculating all the above metrics, the team finally looks for the time taken to test a single bug fix.
  Bug修复的平均测试时间：在计算了所有上述指标之后，团队最终会寻找测试单个Bug修复所花费的时间。
  (Total time gap between fix and retest for all bugs / Total bugs count)
  （所有错误修复和重新测试之间的总时间间隔/错误总数）

Interesting Read: 6 Best Countries for Hiring Offshore Development Team: A Guide to Hire Developers Remotely
6个最适合雇用离岸开发团队的国家：远程雇用开发人员的指南

15.  Test Effectiveness 15.测试效率

Contrary to test efficiency, test effectiveness looks for the bugs and defect ability. It also evaluates the quality of a test set and segregates them from the software product and packages. Additionally, the metric gives the percentage of the variation between the total defects count in the software testing and the count of defects in the software.
与测试效率相反，测试有效性寻找缺陷和缺陷的能力。它还评估测试集的质量，并将它们与软件产品和软件包分离。此外，该度量给出了软件测试中的总缺陷计数与软件中的缺陷计数之间的变化百分比。

Here is the formula to measure Test effectiveness:
以下是衡量测试有效性的公式：

Test Effectiveness (TEF) = (Total inserted defects + Total defects spotted / Defects count escaped) x 100
测试有效性（TEF）=（插入缺陷总数+发现缺陷总数/逃逸缺陷数）x 100

16.  Test Economic Metrics
16.测试经济效益

Many factors contribute to the cost of testing like smart brains, resources, tools, and infrastructure during the software product testing. So, it gets crucial for the team to assess the volume of testing along with the accurate costs in the testing process.
在软件产品测试过程中，许多因素都会导致测试成本的增加，如智能，资源，工具和基础设施。因此，团队评估测试量以及测试过程中的准确成本沿着变得至关重要。

Here are the remaining aspects to calculate the test economic metrics:
以下是计算测试经济指标的其余方面：

• Allocated testing cost. 分配测试成本。
• Real testing cost. 真实的测试成本。
• A gap in the estimated budget.
  估计预算中的缺口。
• Divergence from the schedule.
  偏离时间表。
• Price per bug fix.
  每个bug修复的价格。
• The price of not testing.
  不测试的代价。
• Test Team Metrics 测试团队

Eventually, the team defines the test team metrics after working through all the other key performance indicators. This metric helps see if the work allocation follows a uniform distribution among all the test team members. It also checks if there is any need for clarification or extra information about the testing process.
最后，团队在完成所有其他关键性能指标之后定义测试团队度量。这个度量有助于查看工作分配是否在所有测试团队成员之间遵循均匀分布。它还检查是否需要对测试过程进行澄清或提供额外信息。

Furthermore, test economic metrics are of great help as it aids in knowledge transfer between the team members and facilitates sharing key project details. It does not point out any individual for any defects or irregularities.
此外，测试经济指标有很大的帮助，因为它有助于团队成员之间的知识转移，并促进共享关键项目细节。它不指出任何个人的任何缺陷或违规行为。

The metric is in the form of graphs and charts with the help of the following aspects:
该指标以图表的形式出现，并借助以下方面：

• Repeated defects get distributed to the team members uniformly along with other details like defects reporting, acceptance, and rejection.
  重复的缺陷和其他细节（如缺陷报告、接受和拒绝）一起沿着均匀地分发给团队成员。
• The open defects get allotted to each testing member for a retest.
  开放缺陷被分配给每个测试成员进行重新测试。
• Total count of the test cases resolved by each tester.
  每个测试人员解决的测试用例总数。

Testing software applications often requires working on complex processes over and over. Using test automation framework integration early in the testing lifecycle can help in early defects detection. Plus, it helps save on expensive fixes.
测试软件应用程序通常需要一遍又一遍地处理复杂的过程。在测试生命周期的早期使用测试自动化框架集成可以帮助早期的缺陷检测。此外，它还有助于保存昂贵的修复。

Security Metrics 安全度量

Security metrics offer great insights and help plan vulnerability management activities. Here the general trend of vulnerability comparison matters more than the value numbers during a software development project.
安全指标提供了很好的洞察力，并有助于规划漏洞管理活动。在这里，在软件开发项目中，漏洞比较的一般趋势比价值数字更重要。

• Total vulnerabilities caught by regular penetration testing
  定期渗透测试发现的漏洞总数

The metric highlights the degree of exposure to security vulnerabilities. Instead, the value of this KPI should reduce with the project advancement, indicating the maturity of the software security. Rather, increasing KPI value hints at the deployment of software updates in a rush.
该指标突出了暴露于安全漏洞的程度。相反，这个KPI的值应该随着项目的进展而减少，表明软件安全性的成熟度。相反，增加KPI值暗示了软件更新的匆忙部署。

• Total known vulnerabilities unresolved
  未解决的已知漏洞总数

The number of fixed vulnerabilities doesn’t reflect a wholesome picture of your software’s security. It’s better to compare your software solution with the open security loopholes. Keeping track of this KPI helps keep a check on the loopholes and plan the right actions on security enhancement.
修复漏洞的数量并不能反映软件安全性的全貌。最好将您的软件解决方案与开放的安全漏洞进行比较。跟踪此KPI有助于检查漏洞并计划安全增强的正确操作。

• Quantity and intensity of security incidents
  安全事件的数量和严重程度

This metric prioritizes the most vulnerable incidents that need instant attention in the first place. The criterion behind the intensity ranking depends on how severely an incident can affect the software’s reliability.
该指标首先优先考虑需要立即关注的最脆弱的事件。强度排名背后的标准取决于事件对软件可靠性的影响程度。

Interested Read: Your Software Launched, But is it Successful? 8 Questions to Ask
上一篇：你的软件推出了，但它成功了吗？8问问题

User Satisfaction 用户满意度

Like every other domain, user satisfaction in software development is calculated through surveys. Letting the users rate their experience helps understand the good in the application. It also tells the improvements to be done in the next iteration.
像其他领域一样，软件开发中的用户满意度是通过调查来计算的。让用户评价他们的体验有助于了解应用程序的优点。它还告诉在下一次迭代中要做的改进。

Here are three elements to include in your user satisfaction surveys:
以下是用户满意度调查中应包含的三个要素：

• Matching user expectations on performance.
  满足用户对性能的期望。
• Easy to use user interface.
  易于使用的用户界面。
• Stability of software functionality.
  软件功能的稳定性。

Takeaway 外卖

Software testing metrics combined with code quality, security metrics, and user satisfaction enhance the software quality. Right from ensuring the accuracy of tests to certifying the product quality, these metrics play a vital role in the software development life cycle. Start implementing these software quality KPIs to identify the bottlenecks and enhance the efficiency of your software quality right away.
软件测试度量与代码质量、安全度量和用户满意度相结合，提高了软件质量。从确保测试的准确性到认证产品质量，这些度量在软件开发生命周期中起着至关重要的作用。开始实施这些软件质量KPI，以识别瓶颈并立即提高软件质量的效率。