Metric denotes the teaching of regularities. Software metrics serve to estimate the process and cost expenditure or quality management. Regardless of the advantages, software metrics are not used consistently enough in practice. Software metrics are used to define software parameters and development processes. In a nutshell, they are a measure of quality, because they create formal comparison and evaluation patterns in the form of one-dimensional measures.
Metrics of special cut allow the assessment of complex software products and structures. Ideally, the assessment process begins in the development phase. This is followed by metric studies of the development phases achieved. Also, you can Discover your software development metrics here.
If software metrics are used over the life and further development of a software product, qualitative deviations from the target can be identified and corrected at an early stage. Consistently and consistently used, metric investigations help to make software developments more predictable.
Software metrics can also be used in perspective. From the management’s perspective, measures relating to the subject areas of costs, productivity, and marketing opportunities are relevant. Customers and clients place criteria such as deadline and cost security, product quality, and ROI – the return on investment – at the center of their considerations. Efficiency, MTBF (Meantime between failures), test, and maintenance scenarios are important milestones for the developer and his work.
The IEEE interpretation assigns software metrics to the role of an integral part of quality management systems. In fact, it is a common means of expression in models such as “CMM” – Capability Maturity Level – and the “V-Modell”. This interpretation takes into account the fact that the control of complex system processes is often carried out by controlling software functions Terminology:
- Measure of efficiency
- Adherence to delivery dates
Differentiation in product metrics and process metrics
The differentiation in product metrics and process metrics is due to the search for focus. Product metrics illuminate the product properties of software. In practice, the division into product metrics in two subcategories has proven itself:
Static product metrics with the aim of a measure for software design, the actual program, or the function-describing documentation. The essential criteria of the measurement include factors such as complexity, but also maintenance.
Dynamic product metrics as an expression of the reliability and performance of a software product. Typical metric criteria are the efficiency in execution and the degree of errors that occurred during execution.
Conventional and object-oriented software metrics
A category deals with object-oriented software metrics. This includes measuring specific characteristics when using object-oriented languages. The typical differentiation into:
- Methods of measurement according to the conventional LOC method or the McCabe method;
- Metric of class characteristics;
- Hierarchy considerations (inheritance);
- Metric of aggregation, in the course of linking the classes.
The description outlined here illustrates the complexity of the term software metrics. In this concluding summary, two of the various aspects appear to be particularly important. On the one hand, there are software metrics for estimating effort and costs.
Another key point is the software metric for specific quality properties. The criteria relevant to quality such as runtime behavior, test, and maintenance criteria are to be emphasized as an example.