Quantifying the quality of object-oriented design: the factor-strategy model

Author(s):  
R. Marinescu ◽  
D. Ratiu
2014 ◽  
Vol 599-601 ◽  
pp. 530-533
Author(s):  
Hong Hao Wang ◽  
Hui Quan Wang ◽  
Zhong He Jin

Due to the complex timing sequence of NAND flash, a unified design process is urgently required to guarantee the reliability of storage system of nano-satellite. Unified Modeling Language (UML) is a widely used high level modeling language for object-oriented design. This paper adopts the UML as the design and modelling tool in the low level storage system design to elaborate the UML application in each phase of design in detail. The result shows taking UML as the modelling tool results in a clear and unambiguity design, which promotes the reliability and quality of software. At last, the feasibility of object-oriented implementation in C is presented.


2009 ◽  
pp. 2646-2664
Author(s):  
Juan José Olmedilla

The use of object-oriented (OO) architecture knowledge such as patterns, heuristics, principles, refactorings and bad smells improve the quality of designs, as Garzás and Piattini (2005) state in their study; according to it, the application of those elements impact on the quality of an OO design and can serve as basis to establish some kind of software design improvement (SDI) method. But how can we measure the level of improvement? Is there a set of accepted internal attributes to measure the quality of a design? Furthermore, if such a set exists will it be possible to use a measurement model to guide the SDI in the same way software processimprovement models (Humphrey, 1989; Paulk, Curtis, Chrissis, & Weber, 1993) are guided by process metrics (Fenton & Pfleeger, 1998)? Since (Chidamber & Kemerer, 1991) several OO metrics suites have been proposed to measure OO properties, such as encapsulation, cohesion, coupling and abstraction, both in designs and in code, in this chapter we review the literature to find out to which high level quality properties are mapped and if an OO design evaluation model has been formally proposed or even is possible.


Sienna ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 35-44
Author(s):  
Muhammad Adie Syaputra ◽  
Irma Fatima

Tracer Study is research on the situation of alumni that aims to get a lot of information from graduates / alumni to improve the quality of graduates. Tracking alumni information that can be used as input and evaluation for improving learning and the competencies of graduates. Information in the form of activities / activities of the graduates / alumni after taking education at UMKO, both in the waiting period or having activities in the work world. Computerized tracer studies online in tracking alumni can easily list the desired alumni that can be directly provided by graduates / alumni, where the system built can record graduates / alumni based on graduation years, cometensi fields, number of graduates, job profiles depicted in the form percentage, graph or diagram. Software development uses OOSE method with stages: (1) Requirement Engineering, (2) Object Oriented Design, (3) Implementation or Coding, (4) Testin. The tracking process using an integrated system is able to connect and store all graduate information in 1 (one) media, so that it can provide information to anyone who needs it. In addition, the data entered directly by the alumni so that the data level is more accurate, so that it can provide input to UMKO to improve the quality of graduates.


2021 ◽  
Vol 12 (3) ◽  
pp. 1-16
Author(s):  
Mokhtaria Bouslama ◽  
Mustapha Kamel Abdi

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.


Author(s):  
Sanjeev Punia ◽  
Kuldeep Malik ◽  
Harendra Singh

Object oriented design metrics are most essential part of software development environment and being more popular day by day. This study focus on a set of object oriented metrics that can be used to measure the quality of an object oriented design. The object oriented design metrics focus on the measurements of class and design characteristics. These measurements permit designers to access the software in the early stage of the process and changes accordingly to reduce complexity and improve the continuing capability of the design. This paper summarizes the existing metrics those guide the designers to support their design. We categorized and discussed metrics in such a way that novice designers can apply metrics in their design as needed.


2018 ◽  
Vol 7 (2) ◽  
pp. 11-17
Author(s):  
D. Singh ◽  
H. J. S. Sidhu

In this paper, we have proposed an efficient way to calculate the software metrics of structural and behavioural diagrams of unified modelling language (UML) with the help SD Metrics as a tool. This method is applied to measure the internal quality of attributes and functions of structural and behavioural diagrams of unified modelling language (UML). The SD metrics tool collect the information after parsing the XMI format generated by UML compiler of structural and behavioural UML diagrams. The object-oriented design made by structural and behavioural diagrams holds the important part of designing in the development process of the software. Early the measurement of metrics will lead to good quality of the software from coding, but now using the design metrics we calculate the cohesion, coupling and other metrics with easy and effective with the fewer efforts which improve the quality of software to be developed at the design phase.


2012 ◽  
Vol 5 (1) ◽  
pp. 8
Author(s):  
Petrus Mursanto ◽  
Ardhi Tomiarfi

Penerapan Dominance-based Rough Set Approach (DRSA) untuk menentukan peringkat kualitas sejumlah aplikasi berbasis objek telah dipelajari. DRSA diterapkan untuk memformulasikan satu set klasifikasi dimana kualitas software aplikasi digolongkan. Klasifikasi dibentuk berdasarkan hasil pengukuran Metrics of Object Oriented Design (MOOD) terhadap properti software berbasis Java. Pemanfaatan DRSA merupakan metode alternatif untuk menginterpretasikan nilai-nilai metrics dan menentukan sebuah nilai kuantitatif yang merepresentasikan kualitasnya relatif terhadap software yang lain. Studi eksperimental menunjukkan bahwa akurasi hasil DRSA bergantung pada jumlah sample aplikasi yang dijadikan referensi dalam menurunkan satu set definisi aturan untuk mengklasifikasikan properti software. Sample aplikasi dalam eksperimen diambil dari library Java yang telah teruji modularity, usability dan maintainability-nya. Secara umum, hasil eksperimen menyimpulkan bahwa DRSA dapat diterapkan untuk menentukan peringkat kualitas relatif dari sejumlah aplikasi dalam populasi sample. Application of Dominance-based Rough Set Approach (DRSA) to rank the quality of a number of object-based applications have been studied. DRSA applied to formulate a set of software quality classification in which the application is classified. Classification established by the results of measurements Metrics of Object Oriented Design (MOOD) against the property of Java-based software. Utilization of DRSA is an alternative method for interpreting the values of metrics and determine a quantitative value that represents the quality relative to other software. Experimental studies indicate that the accuracy of the DRSA depends on the number of sample applications that are used as reference in the definition set down one rule for classifying software properties. Sample applications in the experiment was taken from a proven library Java modularity, usability and maintainability of his. In general, the experimental results concluded that the DRSA can be applied to rank the relative quality of a number of applications in the sample population.


Author(s):  
Juan José Olmedilla

The use of object-oriented (OO) architecture knowledge such as patterns, heuristics, principles, refactorings and bad smells improve the quality of designs, as Garzás and Piattini (2005) state in their study; according to it, the application of those elements impact on the quality of an OO design and can serve as basis to establish some kind of software design improvement (SDI) method. But how can we measure the level of improvement? Is there a set of accepted internal attributes to measure the quality of a design? Furthermore, if such a set exists will it be possible to use a measurement model to guide the SDI in the same way software process improvement models (Humphrey, 1989; Paulk, Curtis, Chrissis, & Weber, 1993) are guided by process metrics (Fenton & Pfleeger, 1998)? Since (Chidamber & Kemerer, 1991) several OO metrics suites have been proposed to measure OO properties, such as encapsulation, cohesion, coupling and abstraction, both in designs and in code, in this chapter we review the literature to find out to which high level quality properties are mapped and if an OO design evaluation model has been formally proposed or even is possible.


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