on Software Maintenance, 1999. The measure m ust form the basis for comparisons across pro jects (e.g. Shahmohammadi, and S. Jalili,"Scenario-Based Quantitative Evaluation of Software Architecture Style from Maintainability Viewpoint", 14 th Annual of CSI Computer Conference (CSICC 2009), Iran, Amirkabir University, 2009. i�-� Mapping of program characteristics into these metric values indicate structural complexity and behavior of an information system. products in the modern world, its quantitative specification is clearly needed and desired. • Metric (IEEE Standard Glossary of Software Engineering Terms) – A quantitative measure of the degree to which a system, component or process possesses a given attribute. This measure of reliability is described most often using Cronbach’s alpha (sometimes called coefficient alpha). ... A method for measuring code complexity was developed by Thomas McCabe and with this method a quantitative assessment of any piece of code can be made. 263-270, 2007. Software metrics as means of quality analysis has attracted a lot of attention among researchers and practitioners in last one decade. Here are the main reasons why they are extremely using these methods: 1. Provide the maintainability requirements for the system and the allocation of the requirements to the subsystems. In this thesis we explore the relationships between this maintainability measure and the properties of issues reported for a project. For more critical decisions, quantitative risk analysis provides more objective information and data than the qualitative analysis. Existing SRGMs attempt to statistically describe the software testing process and to determine or predict the reliability of the SUC. In particular, the assessment of maintainability has received attention. [8]     H. Reza, and E. Grant, "Quality-Oriented Software Architecture", The IEEE Int. [20]  C.L. ho often fails, and m uc h eac failure costs) rather than (someho w) t wice the same feature. Lack of investigation on the quantitative impact of architecture styles on software quality attributes is the main problem in using such styles. %PDF-1.2 Reliability, maintainability, and availability (RAM) are three system attributes that are of great interest to systems engineers, logisticians, and users. Hwang, K. Yoon, "Multiple Attribute-Decision Making", Springer-Verlag, 1981. 1, pp. It relates measure in some way. Pfleeger, and J.M. 140 – 145. [23]  ISO, International Organization for Standardization, “ISO9126-1:2001, Software Engineering – Product quality, Part 1: Quality model”, 2001. Timo Lehtinen D.Sc. << 'A Quantitative Evaluation of Maintainability of Software Architecture Styles'. maintainability will represen t w o orthogonal features of the soft are (viz. This can inform high-level decisions on specific areas for software improvement. 29 (11), pp. 3. 1043 – 1049, 2003. The technique is illustrated and evaluated using industrial cases. In this study, architecture styles are quantified based on coupling, complexity and cohesion metrics and ranked by analytic hierarchy process from a maintainability viewpoint. Atlee,”Software Engineering, Theory and  Practice”, 3rd Edition, Prentice Hall, 2006. [11]  D. Garlan, and S. Khersonsky, "Model Checking Implicit Invocation Systems", 10th Int. 379-386, 2007. [13]  L. Briand, S. Morasca, and V. Basili, "Property Based Software Engineering Measurement", IEEE Trans on Software Eng., Vol. 20, pp. Ob0�:M��f@���٬U7��3�m��. On the example of well-known "Heated Room" test case, we illustrate how the selected metrics can serve as … on Software Architecture, 2009, pp. Shahmohammadii; S. Jalili. The aim of this research is to quantify the impacts of architecture styles on software maintainability that is an expected quality of each software. An important decision of design stage is the selection of a suitable software architecture style. 1357-1365, 1988. 2. [17]  M. Alshayeb, and L. Wei, "An Empirical Validation of Object-Oriented Metrics in Two Different Iterative Software Processes," IEEE Trans on Software Engineering, Vol. [4]     B. Harrison, and P. Avgeriou, "Leveraging Architecture Patterns to Satisfy Quality Attributes", 1st European Conf. Many important phenomena within software engineering are difficult to define and measure. 12 0 obj Quantitative and qualitative methods in impact evaluation and measuring results i GSDRC Emerging Issues Research Service This Issues Paper was commissioned by the UK Department for International Development (DFID) through the Emerging Issues Research Service of the Governance and Social Development Resource Centre (GSDRC). Understanding software maintainability allows organizations to identify improvement areas as well as determine the value supplied by current applications or during development changes. Product revision factors− Maintainability, Flexibility, Testability. [26]  M. J. Shepperd, and D.C. Ince, "The use of metrics in the early detection of design errors", Proc.of the European Software Engineering Conf, 1990, pp.67-85. Maintainability: In software engineering, software maintenance is one of the most expensive and time-consuming activities. [12]  M. Shaw, D. Garlan, "Software Architecture: PerspectivesDiscipline on an ٍEmerging Discipline”, Prentice Hall, 1996. 1. -There are two broad use of measurement: assessment and prediction: ÷Predictive measurement of some attribute A relies on a mathematical model relating A to some existing measures of attributes A1, …, An. Regarding the great impact of this decision on maintainability of software product, the presented parametric model provides a basis for sensible selection of architecture style. of the ISSTA 2006 workshop on Role of Software Architecture for Testing and Analysis, 2006, pp. [29]  L. Yu, and S. Ramaswamy, "Component Dependency in Object-Oriented Software", Journal of Computer Science and Technology, 22(3), pp. quality and mapping them into quantitative measures is a crucial factor in sustainable success of an end product. Software metrics, Halstead measure, maintainability, modifiability, software architecture, software deterioration. [15]  S.L. An Industrial Case Study," 6th European Conf. H��Wێ������~��杏�x�l��a��`���l�zM�2��v��9�^$�������OU�s�+{��/��3�i�z��`-{x{x��8�#Ƴ +;�{���Û�!+�2��LJ0�E�����~�c�?~>"���g��*0g�Qk��j�هˠ΢a�u��*��c_�� �aě_�j�O�QË��%��SBx��0�3�&q��G8呗�>>��`b�yE�GI��2%�؛��"@��&@�y�(�ɞ '��V�J�rǴ�Ǹ��S�kv�$��X+Yӯ͙!��(S��| Number of software releases – This is the basic measurement of how frequently new software is delivered to users. But the quantitative analysis allows us to evaluate the overall project risk from the individual risks plus other sources of risks. Eng, 14, pp. Conf. Change of the reusability code is not considered by these researchers. Thus, producing software that is easy to maintain may potentially save large costs. Workshop on  Software and Performance, 1998. Measuring software maintainability is non-trivial as there is no single metric to state if one application is more maintainable than the other and there is no single tool that can analyze your code repository and provide you with an accurate answer either. It is a quantitative measure of the number of linearly independent paths through a program's source code. [6]     J.S Kim, and D. Garlan, "Analyzing Architectural Styles with alloy", Proc. Lack of investigation on the quantitative impact of architecture styles on software quality attributes is the main problem in using such styles. Shahmohammadii, G., Jalili, S. A Quantitative Evaluation of Maintainability of Software Architecture Styles. Cyclomatic complexity is a software metric used to indicate the complexity of a program. Maintainability measures can be calculated and recorded at regular intervals, showing trends in maintainability, both positive and negative. Shahmohammadii, G., Jalili, S. (2009). The problem of maintaining software is Proper decisions play a crucial role in any software architecture design process. [19]  E. Weyuker, "The Evaluation of Software Complexity Measures", IEEE Trans on Soft. • Indicator – – A metric that provide insight into the SW process, [21]  T. L. Saaty, and L. G. Vargas, “Models, Methods, Concepts & Applications of the Analytic Hierarchy Process”, Kluwer  Academic Publisher, 2001. of  Int. Conte reuse measure is estimating coding effort. %���� 70-80. [3]     C. Seo, G. Edwards, S. Malek, and N. Medvidovic," A Framework for Estimating the Impact of a Distributed Software System’s Architectural Style on Its Energy Consumption", 7th Working IEEE/IFIP Conf. Lafuente,"Graph-based Design and Analysis of Dynamic Software Architectures", LNCS 5065, pp. 1. A Hidden Markov Model (HMM) is used to simulate the maintenance behaviors shown as their possible occurrence probabilities. 177-187, 1990. Reusability reduces the coding effort. U���=ἆ�uG�=Vb���/-��~P��w���2Z^��ga�F��,se�M��N� Architectural Patterns Revisited: A Pattern Language, "Creative Commons Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0)". We review and adopt some metrics from conceptual modeling, software engineering and OO design for assessing maintainability of PyCATSHOO models. \A is more main-tainable than B") ev en when the pro jects at hand deal with di eren t applications. Product operation factors− Correctness, Reliability, Efficiency, Integrity, Usability. This book discusses these properties and presents 10 guidelines to help you write source code that is easy to modify. Software Testing Metrics are the quantitative measures used to estimate the progress, quality, productivity and health of the software testing process. approach for quantitative maintainability assessment of DPRA models created with an industrial modeling tool called PyCATSHOO. And desired, Halstead measure, maintainability, both positive and negative crucial factor in sustainable success of end... In any software architecture '', LNCS 5065, pp of linearly independent paths a. 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