Bayesian Hierarchical Modelling for Tailoring Metric Thresholds

Software is highly contextual. While there are cross-cutting `global' lessons, individual software projects exhibit many `local' properties. This data heterogeneity makes drawing local conclusions from global data dangerous. A key research challenge is to construct locally accurate prediction models that are informed by global characteristics and data volumes. Previous work has tackled this problem using clustering and transfer learning approaches, which identify locally similar characteristics. This paper applies a simpler approach known as Bayesian hierarchical modeling. We show that hierarchical modeling supports cross-project comparisons, while preserving local context. To demonstrate the approach, we conduct a conceptual replication of an existing study on setting software metrics thresholds. Our emerging results show our hierarchical model reduces model prediction error compared to a global approach by up to 50%.Comment: Short paper, published at MSR '18: 15th International Conference on Mining Software Repositories May 28--29, 2018, Gothenburg, Swede

McCabe’s complexity and CK Metrics on the internal quality of test first implementation in Malaysian education settings

Test first is promoted in test driven development method as one of an effective Agile manifesto in producing a better quality applications. Several research have been conducted in education settings and among industrial practitioners in order to investigate the test first contribution in producing better quality software compared to a traditional approach. This paper focuses on studying the internal quality of the project developed by undergraduates with the implementation of test first over test last approach in Malaysian education settings. In the analyses, JHawk is used as the metrics extraction tools, and the analysis utilized the SPSS and G*Power statistical packages. The metrics collected are based on six object oriented metrics by Chidamber and Kemerer (CK) and the McCabe’s cyclomatic complexity (CC). However, only four CK Metric (Lack of Cohesion in Method, Coupling between Objects, Weighted Methods per Class, and Response for a Class) were evaluated, in addition, the complexity is measured based on McCabes’s CC. The outcome based on t-test and Mann-Whitney test shows that none of the metrics is statistically significant for test first in producing better internal quality; however, the hypothesis is accepted due to the effect size and achieved power contributed by the Weighted Method per Class

A Change Impact Dependency Measure for Predicting the Maintainability of Source Code

We first articulate the theoretic difficulties with the existing metrics designed for predicting software maintainability. To overcome the difficulties, we propose to measure a purely internal and objective attribute of code, namely change impact dependency, and show how it can be modeled to predict real change impact. The proposed base measure can be further elaborated for evaluating software maintainability

Investigación en Progreso: Estudio del Comportamiento Dinámico del Diseño de Sistemas de Información basado en Redes Complejas

La medición de sistemas de información es una de las tareas más importantes dentro de la Ingeniería del Software ya que permite caracterizarlos y estudiarlos eficientemente. Se han desarrollado decenas de métricas aunque principalmente orientadas a aspectos estáticos. Este proyecto tiene como objetivo desarrollar un proceso de análisis que permita estudiar y evaluar el comportamiento dinámico de un sistema software desde el punto de vista del diseño de sistemas

Pemeringkatan Software Aplikasi Berdasarkan Properti Kualitas Disain Dan Metrics for Object Oriented Software Menggunakan Analytic Hierarchy Process

Sebuah metode untuk mengukur kualitas desain berdasarkan hasil implementasinya dalam Java source codes diusulkan dalam penelitian ini. Metode yang diusulkan menggabungkan Metrics for Object-Oriented Software Engineering (MOOSE), properti kualitas desain software dan konsep Analytic Hierarchy Process (AHP). Sebagai studi kasus, metode ini diterapkan pada sejumlah aplikasi ERP yang bersifat open source yaitu Adempiere, OpenBravo, Plazma, FreedomERP, dan JAllInOne. Pengukuran MOOSE dilakukan dengan bantuan tool CKJM 1.8. Hasil ukur MOOSE dikelompokkan dalam properti kualitas yaitu efficiency, understandability, reusability, testability dan maintainability. Kombinasi MOOSE dan AHP yang dihasilkan dapat menjadi alat bantu dalam menentukan peringkat kualitas software dari aspek orientasi objek. A method for measuring the quality of the design is based on the results of its implementation in the Java source codes proposed in this study. The proposed method combines Metrics for Object-Oriented Software Engineering (MOOSE), property and the concept of software design quality Analytic Hierarchy Process (AHP). As a case study, this method is applied to a number of applications that are open source ERP is Adempiere, Openbravo, Plazma, FreedomERP, and JAllInOne. MOOSE measurements done with the aid tool CKJM 1.8. MOOSE measuring results are grouped in quality properties that are efficiency, understandability, reusability, testability and maintainability. MOOSE and AHP combination that have been produced can be a useful tool in determining the quality ratings of aspects of object oriented software

Towards effectively appraising online stores

This paper introduces research being carried out into the measurement of the quality of e-commerce systems. Considerable work has been done on software metrics in the last few decades but e-commerce specific metrics seem only applicable to already deployed systems. It is proposed that a set of metrics is needed, which can be applied from the earlier stages of E-Commerce system development to improve risk management. This paper attempts to appraise e-commerce systems by proposing a set of essential attributes for an e-commerce site to succeed. This paper also serves as groundwork for future e-commerce metrication work based on these same attributes.peer-reviewe

Quality Issues on Model-Driven Web Engineering Methodologies

Nowadays, there are several development methodologies in the field of model-driven web engineering (MDWE) which involve different levels of modeldriven architecture (MDA): CIM, PIM, PSM, or code. Attending to the high number of available methodologies, development teams may feel lost when choosing the most suitable one for their projects. Furthermore, proposals usually appear and people feel necessary to evaluate their quality in order to select the appropriate methodology or even to find out the way to improve them. This chapter presents the current work carried out in this field and it is oriented toward the definition of a framework which enables an objective measurement of the proposals’ benefits.Ministerio de Educación y Ciencia TIN2007-67843-C06-03Ministerio de Educación y Ciencia TIN2007-30391-