[PDF] Top 20 Static Analysis and Code Complexity Metrics as Early Indicators of Software Defects

... the static analysis tools used at Daimler as well as the quality of the manual re- views executed to eliminate false positives, and 2) might not be repeatable with same degree of confidence with other ... See full document

... of metrics classification is the data collection methods. Static metrics can be obtained from software artifacts such as code or design documents without code execution, while ... See full document

... Halstead Metrics can be improved by devising new parameters for measurement of the ...that code complexity increases as volume increases without specifying which value of program level makes the ... See full document

... Their analysis has shown that many coupling and inheritance measures are strongly related to the probability of fault detection in a ...Their analysis has shown that by using some of the coupling and ... See full document

... telecommunications software system comprised of over 1.2 million source lines of code (SLOC) to create and evaluate predictive models that identify attack-prone ...internal metrics to our predictive ... See full document

... Our analysis is based on static analysis of software complexity metrics like size and control flow ...McCabe complexity and finally Halstead’s software science ... See full document

... a software project to incur TD dur- ing the development ...of software development due to different types of debt ...of defects, impacts on external quality, and reduces the maintainabil- ity of the ... See full document

... 2.1 Static metric: First static metric [8] (LOC/KLOC) was used to measure the productivity of a ...used complexity metric before 1990 was cyclomatic [9] complexity that was measured by ... See full document

... quality metrics plays the vital role in the process of assessing software as in qualitative and quantitative ...Basically, software quality metrics determines specific but some important ... See full document

... (NVD) 11 , and the Red Hat Security Advisory (RHSR) security metrics database. Since some vulnerability patches affect only certain releases, we examined each defect report manually to ensure that developers had ... See full document

... statistical analysis part will process the data gath- ered in the measurement ...Python code contains classes for projects, their versions, the time data and the metric ...most metrics, we took the ... See full document

... of software evaluation metrics is ...of software quality evaluation. Software Metrics are essential in software engineering formeasuring software complexity, ... See full document

... which will be counted as an interaction in the CBO metric [9]. Simple scalars will not be defined as C++ classes, and certainly control flow entities are not objects in C++. Thus, CBO values are likely to be smaller in ... See full document

... 200 metrics with many different purposes [Meyer, 2009], but currently, the existing procedural metrics [Henryan&Kafura, 1981 ][McCabe,1976] are only applicable on the procedural software not ... See full document

... Spatial complexity plays an important role in developing the maintainable ...source code first, and if any changes are required in source-code then change ...the software gets affected by ... See full document

... 2.3 Code Readability of codebase is an essential matter for ...readable code is expected to persist convenient to read, understand and maintain in ...of code as a subjective impression that ... See full document

... Initiative) software product and process ...of software quality metrics and helps to set clear and measurable quality goals for software products and ...9126 Software Engineering – ... See full document

... the software is the problem that affects the quality of ...of defects in the software are caused due to the errors related to the requirements [18] ...30% defects in MIS applications, 15% in ... See full document

... The measures could not be evaluated over a large data set but this is a problem that has plagued much of empirical software engineering research. We plan to replicate our study on large data set and industrial ... See full document

... of software development. Software size plays a crucial role in this process as it forms the base for deriving number of metrics used to measure various aspects of the software, throughout the ... See full document