scholarly journals Improving dynamic software analysis by applying grammar inference principles

2008 ◽  
Vol 20 (4) ◽  
pp. 269-290 ◽  
Author(s):  
Neil Walkinshaw ◽  
Kirill Bogdanov ◽  
Mike Holcombe ◽  
Sarah Salahuddin
Keyword(s):  
Software Analysis ◽  
Grammar Inference ◽  
Dynamic Software

scholarly journals Quality Metrics measurement for Hybrid Systems (Aspect Oriented Programming – Object Oriented Programming)

2021 ◽  
Vol 3 (3) ◽  
pp. 82-99
Author(s):  
Mazen Ismaeel Ghareb ◽  
Gary Allen
Keyword(s):  
Software Metrics ◽  
Object Oriented ◽  
Quality Metrics ◽  
Object Oriented Programming ◽  
Software Analysis ◽  
Programming Software ◽  
Dynamic Software ◽  
Software Quality Metrics ◽  
Dynamic Metrics ◽  
New Framework

This paper explores a new framework for calculating hybrid system metrics using software quality metrics aspect-oriented and object-oriented programming. Software metrics for qualitative and quantitative measurement is a mix of static and dynamic software metrics. It is noticed from the literature survey that to date, most of the architecture considered only the evaluation focused on static metrics for aspect-oriented applications. In our work, we mainly discussed the collection of static parameters ,  long with AspectJ-specific dynamic software metrics.The structure may provide a new direction for research while predicting software attributes because earlier dynamic metrics were ignored when evaluating quality attributes such as maintainability, reliability, and understandability of Asepect Oriented software. Dynamic metrics based on the  fundamentals of software engineering are equally crucial for software analysis as are static metrics. A similar concept is borrowed with the introduction of dynamic software metrics to implement aspect-riented software development.Currently, we only propose a structure and model using static and dynamic parameters to test the aspect-oriented method, but we still need to validate the proposed approach.

scholarly journals Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software Analysis

2020 ◽  
pp. 315-332
Author(s):  
Tiago Matias ◽  
Filipe F. Correia ◽  
Jonas Fritzsch ◽  
Justus Bogner ◽  
Hugo S. Ferreira ◽  
...  
Keyword(s):  
Software Analysis ◽  
Dynamic Software

scholarly journals Utilizing static and dynamic software analysis to aid cost estimation, software visualization, and test quality management

2020 ◽  
Author(s):  
Gergő Balogh
Keyword(s):  
Quality Management ◽  
Cost Estimation ◽  
Software Visualization ◽  
Test Quality ◽  
Software Analysis ◽  
Dynamic Software

E dolgozat fő eredményei kapcsolódnak a részben vagy egészben automatizált program elemzéshez és a fejlesztési folyamatokhoz. A célom az volt, hogy hasznos eszközökkel, módszerekkel és technológiákkal segítsem a különböző szoftverfejlesztéssel foglalkozó szakemberek munkáját. A téziseimet három nagy csoportra osztottam: "A szoftverfejlesztői csapatok produktivitásának mérése és előrejelzése"; "Izgalmas és magával ragadó szoftver és teszt vizualizációs technikák biztosítása"; és "Figyelmet érdemlő helyek azonosítása a csomaghierarchiában lefedettségi adatok alapján"

scholarly journals A Study on Framework for Anti-Pattern Evaluation of System Software

2021 ◽  
Vol 9 (12) ◽  
pp. 1990-1995
Author(s):  
Shaik Mastanvali
Keyword(s):  
Machine Learning ◽  
Design Pattern ◽  
Design Patterns ◽  
Quality Characteristics ◽  
Machine Learning Method ◽  
Software Performance ◽  
Software Analysis ◽  
Confounding Variables ◽  
Dynamic Software ◽  
Implementation Problems

Abstract: Studies with a variety of viewpoints, goals, measurements, and quality characteristics have been conducted in order to determine the effect of design patterns on quality attributes. This has resulted in findings that are contradictory and difficult to compare. They want to explain these findings by taking into account confounding variables, practises, measurements, and implementation problems that have an impact on quality. Furthermore, there is a paucity of research that establishes a link between design pattern assessments and pattern creation studies, which is a significant limitation. For the purpose of detecting and categorising software performance anti-patterns, this article proposes a non-intrusive machine learning method dubbed Non-intrusive Performance Anti-pattern Detector (NiPAD). Keywords: software performance, anti-patterns, classification, machine learning, dynamic software analysis

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