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Project reliability engineering : pro skills for next level maker projects
Turn your projects from a weekend hack to a long-living creation! Loosely drawing from the field known in large software companies as and Site reliability engineering (SRE), this book distills from these disciplines and addresses issues that matter to makers: keeping projects up and running, and providing means to control, monitor, and troubleshoot them. Most examples use the Raspberry, Pi, but the techniques discussed apply to other platforms as well. This book is all about breadth, and in the spirit of making, it visits different technologies as needed. However, the big goal in this book is to create a shift in the reader's mindset, where weekend hacks are pushed to the next level and are treated as products to be deployed. In that regard, this book can be a stepping stone for hobbyist makers into developing a broader, professional skill set. First, the book describes techniques for creating web-browser based dashboards for projects. These allow project creators to monitor, control, and troubleshoot their projects in real-time. \"Project reliability engineering\" discusses various aspects of the process of creating a web dashboard, such as network communication protocols, multithreading, and web design, and data visualization.
Book
Class point: an approach for the size estimation of object-oriented systems
In this paper, we present an FP-like approach, named class point, which was conceived to estimate the size of object-oriented products. In particular, two measures are proposed, which are theoretically validated showing that they satisfy well-known properties necessary for size measures. An initial, empirical validation is also performed, meant to assess the usefulness and effectiveness of the proposed measures to predict the development effort of object-oriented systems. Moreover, a comparative analysis is carried out, taking into account several other size measures.
Journal Article
On the Distribution of Bugs in the Eclipse System
The distribution of bugs in software systems has been shown to satisfy the Pareto principle, and typically shows a power-law tail when analyzed as a rank-frequency plot. In a recent paper, Zhang showed that the Weibull cumulative distribution is a very good fit for the Alberg diagram of bugs built with experimental data. In this paper, we further discuss the subject from a statistical perspective, using as case studies five versions of Eclipse, to show how log-normal, Double-Pareto, and Yule-Simon distributions may fit the bug distribution at least as well as the Weibull distribution. In particular, we show how some of these alternative distributions provide both a superior fit to empirical data and a theoretical motivation to be used for modeling the bug generation process. While our results have been obtained on Eclipse, we believe that these models, in particular the Yule-Simon one, can generalize to other software systems.
Journal Article
Empirical evidence on the link between object-oriented measures and external quality attributes: a systematic literature review
There is a plethora of studies investigating object-oriented measures and their link with external quality attributes, but usefulness of the measures may differ across empirical studies. This study aims to aggregate and identify useful object-oriented measures, specifically those obtainable from the source code of object-oriented systems that have gone through such empirical evaluation. By conducting a systematic literature review, 99 primary studies were identified and traced to four external quality attributes: reliability, maintainability, effectiveness and functionality. A vote-counting approach was used to investigate the link between object-oriented measures and the attributes, and to also assess the consistency of the relation reported across empirical studies. Most of the studies investigate links between object-oriented measures and proxies for reliability attributes, followed by proxies for maintainability. The least investigated attributes were: effectiveness and functionality. Measures from the C&K measurement suite were the most popular across studies. Vote-counting results suggest that complexity, cohesion, size and coupling measures have a better link with reliability and maintainability than inheritance measures. However, inheritance measures should not be overlooked during quality assessment initiatives; their link with reliability and maintainability could be context dependent. There were too few studies traced to effectiveness and functionality attributes; thus a meaningful vote-counting analysis could not be conducted for these attributes. Thus, there is a need for diversification of quality attributes investigated in empirical studies. This would help with identifying useful measures during quality assessment initiatives, and not just for reliability and maintainability aspects.
Journal Article
Boosting Software Fault Prediction: Addressing Class Imbalance With Enhanced Ensemble Learning
Software fault prediction (SFP) is a crucial aspect of software engineering, aiding in the early identification of potential defects. This proactive approach significantly contributes to enhancing software quality and reliability. However, a common challenge in SFP is class imbalance (CI). Ensemble learning (EL) is a powerful strategy for refining SFP models in object‐oriented systems with imbalanced data and improving sensitivity to minority classes. This study aimed to improve the effectiveness of ensemble classes in SFP within object‐oriented systems, tackling the challenges associated with imbalanced data. It focuses on enhancing the performance of three ensemble classifiers, BalancedBagging, RUSBoost, and EasyEnsemble, explicitly designed for imbalanced datasets. In Enhanced_BalancedBagging (E_BB) and ROSBoost, random undersampling (RUS) is substituted with random oversampling (ROS). Meanwhile, Enhanced_EasyEnsemble (E_EE) replaces RUS with ROS and AdaBoost with XGBoost. The experimental results demonstrate the superior performance of E_BB, ROSBoost, and E_EE over their base models, achieving the highest F ‐measure, balanced accuracy, and AUC. Statistical tests, such as the Wilcoxon signed‐rank test, provide robust support for the enhanced models, highlighting their practical significance through substantial improvements in F‐measure and AUC, as indicated by low negative rank sums and large effect sizes.
Journal Article
CREATION OF BIOLOGICAL DATABASES USING OBJECT-ORIENTED SYSTEM ANALYSIS
The aim of the work was to develop electronic database of biological organisms (fishes, viruses) on the base of the methods that have been used before in mathematics, engineering, physics. The methods of object-oriented system analysis, construction of models of subject spaces (problem space, solution space), ER-diagrams, of constructing databases and others were applied. The examples of prototypes of modern databases with information about fishes developed over the past years in Western European and American countries were presented. An overview of applied methods, concepts and terminology from the areas of object-oriented system analysis, database designing was disclosed. In conclusions the description of constructed database and practical recommendations for the development of databases with the information about domestic biological organisms for electronic information systems are given.
Journal Article
An OOSEM-Based Design Pattern for the Development of AUV Controllers
This article introduces a new design pattern that provides an optimal solution for the systematic development of AUV controllers. In this study, a hybrid control model is designed on the basis of the OOSEM (Object-Oriented Systems Engineering Method), combined with MDA (Model-Driven Architecture) concepts, real-time UML/SysML (Unified Modeling Language/Systems Modeling Language), and the UKF (unscented Kalman filter) algorithm. This hybrid model enables the implementation of the control elements of autonomous underwater vehicles (AUVs), which are considered HDSs (hybrid dynamic systems), and it can be adapted for reuse for most standard AUV platforms. To achieve this goal, a dynamic AUV model is integrated with the specializations of the OOSEM/MDA, in which an analysis model is clarified via a use-case model definition and then combined with HA (hybrid automata) to precisely define the control requirements. Next, the designed model is tailored via real-time UML/SysML to obtain the core control blocks, which describe the behaviors and structures of the control parts in detail. This design model is then transformed into an implementation model with the assistance of round-trip engineering to conveniently realize a controller for AUVs. Based on this new model, a feasible AUV controller for low-cost, turtle-shaped AUVs is implemented, and it is utilized to perform planar trajectory tracking.
Journal Article
Towards a Formal Approach for Assessing the Design Quality of Object-Oriented Systems
The cost of software maintenance is always increasing. The companies are often confronted to failures and software errors. The quality of software to use is so required. In this paper, the authors propose a new formal approach for assessing the quality of object-oriented system design according to the quality assessment model. This approach consists in modeling the input software system by an automaton based on object-oriented design metrics and their relationship with the quality attributes. The model exhibits the importance of metrics through their links with the attributes of software quality. In addition, it is very practical and flexible for all changes. It allows the quality estimation and its validation. For the verification of proposed probabilistic model (automaton), they use the model-checking and the prism tool. The model-checking is very interesting for the evaluation and validation of the probabilistic automaton. They use it to approve the software quality of the three experimental projects. The obtained results are very interesting and of great importance.
Journal Article
Mapping of Activities for Object-Oriented System Analysis
Even though object-oriented approach exists for more than 20 years, there are many issues regarding objectoriented system analysis: ambiguity, incompleteness and redundancy in requirements, difficulties with definition and traceability of non-functional requirements, requirements ignorant of business processes that are important for business operations and others. Although software can be engineered using many methodologies, different approaches to the analysis should be considered as they can provide a solution to the known issues. The paper describes the result of the research on object-oriented system analysis in a form of mapping activities offered in advanced software development methods.
Journal Article
Empirical study of fault prediction for open-source systems using the Chidamber and Kemerer metrics
Software testers are usually provoked with projects that have faults. Predicting a class's fault-proneness is vital for minimising cost and improving the effectiveness of the software testing. Previous research on software metrics has shown strong relationships between software metrics and faults in object-oriented systems using a binary variable. However, these models do not consider the history of faults in classes. In this work, a dependent variable is proposed that uses fault history to rate classes into four categories (none, low risk, medium risk and high risk) and to improve the predictive capability of fault models. The study is conducted on many releases of four open-source systems. The study tests the statistical differences in seven machine learning algorithms to find whether the proposed variable can be used to build better prediction models. The performance of the classifiers using the four categories is significantly better than the binary variable. In addition, the results show improvements on the reliability of the prediction models as the software matures. Therefore the fault history improves the prediction of fault-proneness of classes in open-source systems.
Journal Article