The importance of product quality is self-evident. In order to ensure project quality, we need to quickly and efficiently find out the factors that affect product quality. Failure to timely and efficiently gain insight into influencing factors and repair project defects and bugs in a timely manner will often cause unexpected consequences and risks to the project, such as changes in requirements and delays in important development nodes.
Therefore, the method of software quality management is very important. Generally speaking, there are five common project quality management methods:
1. Checklist
This method is to conduct statistical analysis on the raw data of the product or project under development, check item by item regularly or irregularly, and record the problem points. Such as inspection form, diagnosis form, work improvement checklist, satisfaction survey form, etc.
2. Arrangement diagram method
Paretograph method is an effective method to find out the factors affecting product quality. The premise of this method is that it is necessary to collect a large amount of data about product quality in advance, and carry out hierarchical processing according to different themes, count the frequency of various problems, arrange them in descending order, and calculate each After the percentage of occurrence of such problems, the data will be unified into a data table, and this table will be made into a permutation chart.
It should be noted that the cumulative percentage should be marked on the right side of each item, starting from the origin, connecting the points with a straight line, thus making a Pareto curve. It can help us quickly identify key problems, so that we can adjust and fix problems in time.
3. Cause and effect diagram method
The causal diagram method, also known as the fishbone diagram or the characteristic causal diagram method, is to analyze the reasons that affect the characteristics of the product and the causal relationship between the reasons.
Generally, by grasping the status quo of the product, analyzing the cause and looking for measures to promote the solution of the problem. It should be noted that when digging out the reasons that affect the product, it is necessary to concrete the large reasons into several medium reasons, and then convert the medium reasons into small reasons, the finer the better, until the implementation of measures to solve the problem.
4. Scatter diagram
This graph depicts the data corresponding to the causal relationship on the XY axis coordinate system, so as to grasp whether the two variables are related and to what extent. This graph is also called a correlation graph.
It is generally divided into four types: positive correlation, negative correlation, no correlation and curvilinear correlation. It is necessary to pay attention to the investigation of the correlation between the two variables, and the data collected must be at least 30 groups.
5. Control chart method
This method is a quality control method based on prevention, and it is a quality management chart with control limits. We can timely analyze and judge whether the development process is normal through the distribution of product quality characteristic values on the control chart. Once an abnormal situation occurs, we can take timely measures to eliminate and repair it.
There are center line and upper and lower control lines on the control chart. The center line is the average value of the controlled statistics, and the upper and lower control lines are several times the standard deviation away from the center line. It should be noted that the control line is not a tolerance line, which is used to control whether the product is qualified. Instead, it is used to judge whether the process quality has changed. Once an exception occurs, the responsibility needs to be clarified, resolved and reported in a timely manner.
In order to effectively carry out project quality management, we need to build a whole-process quality management system. We can use development tools to improve the efficiency of quality monitoring. For example, the QA quality management of CoCode Development Cloud includes QA checklist and closed-loop management of non-conformity items. The QA checklist is divided into layers according to inspection type, inspection stage, practice domain, inspection object, and inspection item, thus building a whole-process quality management system.
In order to improve project inspection efficiency and share valuable resources, CoCode Development Cloud has an organization-level QA inspection asset library, which is divided into product inspection asset library and process inspection asset library. The product inspection asset library has 16 practice domains, 76 inspection objects, and 569 inspection items. The process inspection asset library has 16 practice domains, 80 inspection objects, and 386 inspection items. Users can also customize checklists and check items. Therefore, when the team is developing any project, they can select the inspection stage with one click and quickly add inspection items, thereby improving the efficiency of project inspection and helping the quality and efficiency of software development.
And Coode has an organization-level process asset library, including organization standard process sets, process management, activity content management, and project templates. Among them, process management includes 21 process templates, and activity management includes CMMI3-5 level templates, which will help process improvement and improve project development quality.
At present, CoCode releases a series of AI development tools: Co-Project intelligent project management tool (requirement itemization, automatic generation of test cases), requirement analysis tool, review analysis tool, and story point estimation tool.
Among them, the Co-Project project management platform has released 4 major versions, free trial for 30 days; and released a series of CMMI efficient implementation tools to achieve full coverage of the CMMI standard process and fully support the implementation of CMMI3-5 levels. Such as: standard organization-level process asset library, organization-level process improvement tools, quantitative project management tools, and CMMI maturity self-test tools, so as to ensure high-standard, high-quality, high-efficiency project delivery on time.