> /ProcSet 2 0 R >> /Contents 28 0 R >> endobj 31 0 obj << /Length 32 0 R >> stream Maintainability – Each software product requires maintenance and up gradation. This paper provides a … They can use metrics to communicate an issue, report a progress of a project, and improve their workflow. Tj 65.16 0 TD 0 Tc 0.03 Tw ( ) Tj -167.04 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([27] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.008 Tc 0.146 Tw (Ramil J. F. and Lehman M. M., "Metrics of Software ) Tj 0 -11.76 TD 0.0074 Tc 1.7026 Tw (Evolution as Effort Predictors) Tj 0 Tc -0.09 Tw ( ) Tj 128.76 0 TD 0.0433 Tc 0 Tw (-) Tj 3.24 0 TD -0.015 Tc 1.695 Tw ( A Case Study", In) Tj 0 Tc -0.09 Tw ( ) Tj -132 -11.76 TD /F2 9.96 Tf 0.0324 Tc 9.1176 Tw (Proceedings of) Tj 69.48 0 TD 0.0254 Tc 9.0046 Tw ( International Conference on) Tj 0 Tc 0.03 Tw ( ) Tj -69.48 -11.76 TD 0.0222 Tc 0.0078 Tw (Software Maintenance) Tj 90.36 0 TD /F3 9.96 Tf -0.0089 Tc 0 Tw (, ) Tj 5.52 0 TD /F1 9.96 Tf 0.0447 Tc -0.0147 Tw (IEEE, 2000.) the 4th International Conference on Semantics, Knowledge and Grid, Dec. 2008, pp.330-335. First, it is well known that software systems) Tj 0 Tc -0.09 Tw ( ) Tj T* 0.0008 Tc 1.1332 Tw (deteriorate as time passes and changes are made to it. The use of scenarios to evaluate) Tj 0 Tc 0.03 Tw ( ) Tj T* -0.0089 Tc 0.1074 Tw (maintainability has therefore been discussed, particularly on ) Tj T* -0.0035 Tc 3.5135 Tw (the architectural level) Tj 0 Tc 0.03 Tw ( ) Tj 99.12 0 TD 0.0517 Tc 0 Tw ([3) Tj 8.4 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.05 Tc (7,9,17) Tj 25.2 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.0544 Tc (20]) Tj 13.44 0 TD -0.0369 Tc 3.4269 Tw (. Shortening downtime in length or frequency results in higher availability. 1. Deep Learning Approach for Software Maintainability Metrics Prediction Abstract: Software maintainability predicts changes or failures that may occur in software after it has been deployed. Productivity depends on the time you spend on tasks and other in-house activities. Adaptive maintenance includes the environmental changes where your software is living. The system deteriorates \(measured in ) Tj ET 312 137.76 0.48 11.64 re f 563.4 137.76 0.48 11.64 re f BT 340.08 128.28 TD -0.0086 Tc 0.0386 Tw (maintainability\) as changes are implemen) Tj 176.88 0 TD 0.0144 Tc 0 Tw (ted) Tj 13.32 3.96 TD /F0 6 Tf 0 Tc (2) Tj 3 -3.96 TD /F0 9.96 Tf 0.03 Tc (.) Texture Lab Software, Bear Attack Alaska 2020, Safari Translate Page Mac, Albanese Sour Gummy Bears Canada, How To Draw A Wolf Step By Step, Mustard Seed Eyelet Romper, Types Of Questions Open Closed, Wise App Install, "/> software maintainability metrics > /ProcSet 2 0 R >> /Contents 28 0 R >> endobj 31 0 obj << /Length 32 0 R >> stream Maintainability – Each software product requires maintenance and up gradation. This paper provides a … They can use metrics to communicate an issue, report a progress of a project, and improve their workflow. Tj 65.16 0 TD 0 Tc 0.03 Tw ( ) Tj -167.04 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([27] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.008 Tc 0.146 Tw (Ramil J. F. and Lehman M. M., "Metrics of Software ) Tj 0 -11.76 TD 0.0074 Tc 1.7026 Tw (Evolution as Effort Predictors) Tj 0 Tc -0.09 Tw ( ) Tj 128.76 0 TD 0.0433 Tc 0 Tw (-) Tj 3.24 0 TD -0.015 Tc 1.695 Tw ( A Case Study", In) Tj 0 Tc -0.09 Tw ( ) Tj -132 -11.76 TD /F2 9.96 Tf 0.0324 Tc 9.1176 Tw (Proceedings of) Tj 69.48 0 TD 0.0254 Tc 9.0046 Tw ( International Conference on) Tj 0 Tc 0.03 Tw ( ) Tj -69.48 -11.76 TD 0.0222 Tc 0.0078 Tw (Software Maintenance) Tj 90.36 0 TD /F3 9.96 Tf -0.0089 Tc 0 Tw (, ) Tj 5.52 0 TD /F1 9.96 Tf 0.0447 Tc -0.0147 Tw (IEEE, 2000.) the 4th International Conference on Semantics, Knowledge and Grid, Dec. 2008, pp.330-335. First, it is well known that software systems) Tj 0 Tc -0.09 Tw ( ) Tj T* 0.0008 Tc 1.1332 Tw (deteriorate as time passes and changes are made to it. The use of scenarios to evaluate) Tj 0 Tc 0.03 Tw ( ) Tj T* -0.0089 Tc 0.1074 Tw (maintainability has therefore been discussed, particularly on ) Tj T* -0.0035 Tc 3.5135 Tw (the architectural level) Tj 0 Tc 0.03 Tw ( ) Tj 99.12 0 TD 0.0517 Tc 0 Tw ([3) Tj 8.4 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.05 Tc (7,9,17) Tj 25.2 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.0544 Tc (20]) Tj 13.44 0 TD -0.0369 Tc 3.4269 Tw (. Shortening downtime in length or frequency results in higher availability. 1. Deep Learning Approach for Software Maintainability Metrics Prediction Abstract: Software maintainability predicts changes or failures that may occur in software after it has been deployed. Productivity depends on the time you spend on tasks and other in-house activities. Adaptive maintenance includes the environmental changes where your software is living. The system deteriorates \(measured in ) Tj ET 312 137.76 0.48 11.64 re f 563.4 137.76 0.48 11.64 re f BT 340.08 128.28 TD -0.0086 Tc 0.0386 Tw (maintainability\) as changes are implemen) Tj 176.88 0 TD 0.0144 Tc 0 Tw (ted) Tj 13.32 3.96 TD /F0 6 Tf 0 Tc (2) Tj 3 -3.96 TD /F0 9.96 Tf 0.03 Tc (.) Texture Lab Software, Bear Attack Alaska 2020, Safari Translate Page Mac, Albanese Sour Gummy Bears Canada, How To Draw A Wolf Step By Step, Mustard Seed Eyelet Romper, Types Of Questions Open Closed, Wise App Install, " />

software maintainability metrics

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software maintainability metrics

This could include) Tj 0 Tc 0.03 Tw ( ) Tj T* -0.0121 Tc 1.7821 Tw (counting dependencies between components; \223fan) Tj 206.16 0 TD 0.0433 Tc 0 Tw (-) Tj 3.24 0 TD -0.0056 Tc 1.7156 Tw (in\224 and) Tj 0 Tc 0.03 Tw ( ) Tj -209.4 -11.76 TD -0.0253 Tc 0 Tw (\223fan) Tj 16.92 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.0022 Tc 0.0278 Tw (out\224 ) Tj 19.92 0 TD 0.0517 Tc 0 Tw ([12]) Tj 16.8 0 TD -0.0089 Tc 0.0389 Tw (; ) Tj 5.52 0 TD -0.0153 Tc 0.2253 Tw (number of calls in, number of calls out ) Tj 158.16 0 TD 0.0517 Tc 0 Tw ([22]) Tj 16.8 0 TD -0.0089 Tc 0.0389 Tw (; ) Tj -237.36 -11.76 TD -0.0142 Tc 0.0442 Tw (and other measures.) The result is a tree structure of maintainability metrics which can be used for purposes of evaluating the relative maintainability of the software system. Tj 226.8 0 TD 0 Tc 0.03 Tw ( ) Tj -147.12 -17.88 TD /F0 12 Tf -0.0036 Tc 0 Tw (REFERENCES) Tj 80.64 0 TD 0 Tc ( ) Tj -160.32 -15.96 TD /F1 9.96 Tf 0.03 Tw ( ) Tj 6.24 0 TD 0.0489 Tc -0.0189 Tw ([1] ) Tj 14.28 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0269 Tc 0 Tw (Aggarw) Tj 31.68 0 TD 0.0037 Tc 1.2796 Tw (al K. K., Singh Y., and Chhabra J. K., "An) Tj 0 Tc -0.09 Tw ( ) Tj -31.68 -11.76 TD -0.0043 Tc 1.1383 Tw (Integrated Measure of Software Maintainability", In) Tj 0 Tc -0.09 Tw ( ) Tj 0 -11.76 TD /F2 9.96 Tf 0.0268 Tc 14.8532 Tw (Proceedings of Annual Reliability and) Tj 0 Tc 0.03 Tw ( ) Tj T* 0.0221 Tc 0.0079 Tw (Maintainability Symposium) Tj 110.4 0 TD /F3 9.96 Tf -0.0089 Tc 0 Tw (, ) Tj 5.52 0 TD /F1 9.96 Tf 0.0447 Tc -0.0147 Tw (IEEE, 2002.) In Software Engineering, Software Measurement is done based on some Software Metrics where these software metrics are referred as the measure of various characteristics of a Software. Tj 5.88 0 TD 0 Tc 0.03 Tw ( ) Tj -149.04 -18.96 TD /F0 11.04 Tf 0 Tw (3.1) Tj 13.8 0 TD ( ) Tj 7.2 0 TD 0.0289 Tc -0.0289 Tw (Software Deterioration) Tj 109.44 0 TD 0 Tc 0 Tw ( ) Tj -130.44 -13.8 TD /F1 9.96 Tf -0.0012 Tc 0.6192 Tw (It has been noticed that software deteriorates as it ages and) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0186 Tc 0.6486 Tw (is being maintained) Tj 0 Tc 0.03 Tw ( ) Tj 82.08 0 TD 0.049 Tc 0 Tw ([3,6,25,33,34]) Tj 57.12 0 TD -0.0187 Tc 0.5887 Tw (; using the vocabulary of) Tj 0 Tc -0.09 Tw ( ) Tj -139.2 -11.76 TD -0.0122 Tc 1.3622 Tw (Fred Brooks, a system\222s) Tj 0 Tc -0.09 Tw ( ) Tj 103.8 0 TD /F2 9.96 Tf 0.0222 Tc 1.2078 Tw (conceptual integrity) Tj 0 Tc 0.03 Tw ( ) Tj 85.32 0 TD /F1 9.96 Tf 0.0489 Tc 0 Tw ([8]) Tj 11.76 0 TD 0.0153 Tc 1.2147 Tw ( degrades) Tj 0 Tc -0.09 Tw ( ) Tj -200.88 -11.76 TD -0.014 Tc 2.084 Tw (as changes are made to it. A programming team will perform four types of maintenance on new deployments or enhancements: corrective, adaptive, perfective, and … However,) Tj 0 Tc 0.03 Tw ( ) Tj -51 -11.76 TD -0.0166 Tc 1.2732 Tw (you cannot control what you cannot measure, and there is) Tj 0 Tc -0.09 Tw ( ) Tj 0 -11.76 TD -0.0248 Tc 6.7948 Tw (yet no universal measure of maintainability. Tj 60.96 0 TD 0 Tc 0.03 Tw ( ) Tj -60.96 -18.96 TD /F0 11.04 Tf 0 Tw (3.3) Tj 13.8 0 TD ( ) Tj 7.2 0 TD 0.0131 Tc -0.0131 Tw (Which Systems?) They are – Code Quality; Reliability; Performance; Usability; Correctness; Maintainability; Integrity; Security; Now let’s understand each quality metrics in detail – 1. Towards a metrics suite for object oriented design. In this chapter from his book on software quality engineering, Stephen H. Kan discusses several metrics in each of three groups of software quality metrics: product quality, in-process quality, and maintenance quality. Following the) Tj 0 Tc 0.03 Tw ( ) Tj T* -0.011 Tc 0.101 Tw (opinion that maintainability \223is the set of attributes that bear ) Tj T* -0.0056 Tc 0.5328 Tw (on the effort needed to make specified modifications\224) Tj 0 Tc 0.03 Tw ( ) Tj 220.8 0 TD 0.0517 Tc 0 Tw ([16]) Tj 16.8 0 TD 0.03 Tc (, ) Tj -237.6 -11.76 TD -0.0046 Tc 0.5896 Tw (we describe maintainability according to this approach as a) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0103 Tc 2.4403 Tw (function of directly measurable attributes) Tj 0 Tc -0.09 Tw ( ) Tj 178.44 0 TD /F2 9.96 Tf 0.0344 Tc 0 Tw (A) Tj 6.12 -1.56 TD /F1 6.48 Tf 0 Tc (1) Tj 3.24 1.56 TD /F1 9.96 Tf -0.0208 Tc 2.3308 Tw ( through) Tj 0 Tc -0.09 Tw ( ) Tj 40.44 0 TD /F2 9.96 Tf 0.0344 Tc 0 Tw (A) Tj 6.12 -1.56 TD /F1 6.48 Tf 0 Tc (n) Tj 3.24 1.56 TD /F1 9.96 Tf 0.03 Tc (, ) Tj -237.6 -11.76 TD -0.016 Tc 0.046 Tw (that is:) Tj 26.76 0 TD 0 Tc 0.03 Tw ( ) Tj -13.2 -15.84 TD /F2 9.96 Tf -0.0382 Tc 0.0682 Tw (M = f\(A) Tj 32.16 -1.56 TD /F2 6.48 Tf 0 Tc 0 Tw (1) Tj 3.24 1.56 TD /F2 9.96 Tf 0.0322 Tc -0.0022 Tw (, A) Tj 11.16 -1.56 TD /F2 6.48 Tf 0 Tc 0 Tw (2) Tj 3.24 1.56 TD /F2 9.96 Tf 0.03 Tc 0 Tw (, \205, A) Tj 25.08 -1.56 TD /F2 6.48 Tf 0 Tc 0 Tw (n) Tj 3.24 1.56 TD /F2 9.96 Tf 0.0433 Tc (\)) Tj 3.24 0 TD 0 Tc 0.03 Tw ( ) Tj 131.88 0 TD /F0 9.96 Tf 0.0489 Tc 0 Tw (\(1\)) Tj 11.76 0 TD /F2 9.96 Tf 0 Tc 0.03 Tw ( ) Tj -238.56 -15.72 TD /F1 9.96 Tf -0.005 Tc 0.155 Tw (On an informal level, this approach is quite appealing ) Tj 217.68 0 TD 0.06 Tc 0 Tw (\226) Tj 5.04 0 TD -0.0153 Tc 0.0853 Tw ( it is ) Tj -222.72 -11.76 TD -0.0232 Tc 0.8632 Tw (intuitive that a maintainable system must be e.g. Reliability – Reliability metrics measure what is the software of software in different conditions. Saraiva, S. Soares and F. Castor, Towards a catalog of object-oriented software maintainability metrics, in WeTSom: Proc. In the age of cyber terrorism, security is the most essential part of every software. Change C\222 \(a restructuring of the system\) ) Tj ET 48.12 478.92 0.48 11.64 re f 299.52 478.92 0.48 11.64 re f BT 71.04 469.44 TD 0.0064 Tc 0.0236 Tw (causes maintainability to \(tem) Tj 127.56 0 TD 0.018 Tc 0.012 Tw (porarily\) increase.) [71] Olatunji S O, Rasheed Z, Sattar K A, Al-Mana A M, Alshayeb M, El-Sebakhy E A. Tj 57.48 0 TD 0 Tc 0.03 Tw ( ) Tj -84.48 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([35] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0121 Tc 0.2221 Tw (Szyperski C., ) Tj 56.52 0 TD /F2 9.96 Tf 0.0222 Tc 0.1878 Tw (Component Software ) Tj 87.48 0 TD 0.0433 Tc 0 Tw (-) Tj 3.36 0 TD 0.028 Tc 0.302 Tw ( Beyond Object) Tj 62.4 0 TD 0.0433 Tc 0 Tw (-) Tj -209.76 -11.76 TD 0.0203 Tc 0.0097 Tw (Oriented Programming) Tj 94.2 0 TD /F1 9.96 Tf 0.0144 Tc 0.0156 Tw (, Addison) Tj 38.76 0 TD 0.0433 Tc 0 Tw (-) Tj 3.24 0 TD 0.0158 Tc 0.0142 Tw (Wesley, 1998.) There is no substitute for a human reviewer, but even humans can’t analyze the entire code repositories to give a definitive answer. Therefore, a big question is how to) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0243 Tc 1.8543 Tw (make component) Tj 69.84 0 TD 0.0433 Tc 0 Tw (-) Tj 3.24 0 TD -0.0121 Tc 1.7461 Tw (based systems maintainable, and as part) Tj 0 Tc 0.03 Tw ( ) Tj -73.08 -11.76 TD -0.0119 Tc 3.4819 Tw (of that we must be prepared to measure and estimate) Tj 0 Tc 0.03 Tw ( ) Tj 263.88 629.28 TD -0.0124 Tc 0.7795 Tw (maintainability on the architectural level when source code) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0408 Tc 1.3908 Tw (is no) Tj 20.4 0 TD -0.0046 Tc 1.2346 Tw ( longer available. Tj 49.44 0 TD 0 Tc 0.03 Tw ( ) Tj -172.32 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([28] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0044 Tc 1.6344 Tw (Rozum, J. BT 54 710.64 TD 0 0 0 rg /F1 9.96 Tf -0.018 Tc 3.228 Tw (We will perform measurements on a long sequence of) Tj 0 Tc -0.09 Tw ( ) Tj 0 -11.76 TD -0.0182 Tc 0.3318 Tw (versions of the same system, and investigate if it is possible ) Tj T* -0.0059 Tc 0.7122 Tw (to discern any trends. Tj 42.24 0 TD 0 Tc 0.03 Tw ( ) Tj ET q 1 0 0 1 0.6914 2.6514 cm 0.72 w 1 J 1 j 0 0 0 RG 165.72 516.12 m 165.72 511.56 l S Q BT 163.44 501.84 TD /F3 9.96 Tf 0.0133 Tc 0 Tw (C') Tj ET q 1 0 0 1 0.6914 2.6514 cm 0.72 w 1 J 1 j 0 0 0 RG 84.72 513.84 m 84.72 571.2 l S Q 81.48 570.36 m 84.72 576.84 l 87.96 570.36 l 81.48 570.36 l h f* q 1 0 0 1 0.6914 2.6514 cm 0.72 w 1 J 1 j 0 0 0 RG 84.72 513.84 m 268.08 513.84 l S Q 267.36 517.08 m 273.84 513.84 l 267.36 510.6 l 267.36 517.08 l h f* BT 227.4 501.84 TD -0.0133 Tc (Change) Tj ET q 1 0 0 1 0.6914 2.6514 cm 0.72 w 1 J 1 j 0 0 0 RG 84.72 558.84 m 165.72 545.4 l S Q BT 0 1 -1 0 78.72 510.48 Tm -0.0304 Tc (Maintainability) Tj ET q 1 0 0 1 0.6914 2.6514 cm 0.72 w 1 J 1 j 0 0 0 RG 167.4 558.84 m 165.72 545.4 l S Q q 1 0 0 1 0.6914 2.6514 cm 0.72 w 1 J 1 j 0 0 0 RG 246.84 545.4 m 168 558.84 l S Q BT 282.36 494.52 TD /F1 9.96 Tf 0 Tc 0.03 Tw ( ) Tj ET 48.12 586.2 0.48 0.48 re f 48.12 586.2 0.48 0.48 re f 48.6 586.2 250.92 0.48 re f 299.52 586.2 0.48 0.48 re f 299.52 586.2 0.48 0.48 re f 48.12 490.56 0.48 95.64 re f 299.52 490.56 0.48 95.64 re f BT 64.8 481.08 TD /F0 9.96 Tf 0.0172 Tc 0.0128 Tw (Figure ) Tj 30.84 0 TD 0.06 Tc 0 Tw (2) Tj 5.04 0 TD 0.0117 Tc 0.0183 Tw (. This paper provides a review of this literature and the related state-of-the-art. In essence, they are good modeling tools. B. Kitchenham and S. Charters, Guidelines for performing systematic literature review in software engineering, Technical report no. Set of activities in SAQ are continuously applied through out the software process. Maintainability Management Cost Duration, time Staffing. consistent) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0159 Tc 2.6709 Tw (and simple. … If the code is represented as a directed-graph, CCN is also the number of disjoint regions. Tj 119.04 0 TD 0 Tc 0.03 Tw ( ) Tj -217.8 -23.88 TD /F0 12 Tf -0.0045 Tc 0 Tw (Keywords) Tj 51.96 0 TD /F1 9.96 Tf 0 Tc 0.03 Tw ( ) Tj -51.96 -12 TD -0.0171 Tc 7.4871 Tw (Software metrics, Halstead measure, maintainability,) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0088 Tc 0.0388 Tw (modifiability, software architecture, software deterioration.) Tj 106.2 0 TD 0 Tc 0.03 Tw ( ) Tj -106.2 -19.92 TD /F0 12 Tf 0 Tw (4.) Tj 93.72 0 TD 0 Tc 0.03 Tw ( ) Tj -120.72 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([10] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0123 Tc 2.8473 Tw (Coleman D., Ash D., Lowther B., and Oman P.,) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0197 Tc 7.8737 Tw (Using Metrics to Evaluate Software System) Tj 0 Tc -0.21 Tw ( ) Tj T* -0.0121 Tc 0.0421 Tw (Maintainability, ) Tj 66.36 0 TD /F2 9.96 Tf 0.0222 Tc 0.1278 Tw (IEEE Computer) Tj 64.32 0 TD /F1 9.96 Tf -0.0053 Tc 0.0833 Tw (, volume 27, issue 8, ) Tj -130.68 -11.76 TD 0.054 Tc 0 Tw (1994.) Such prediction models are often) Tj 0 Tc -0.09 Tw ( ) Tj T* -0.0189 Tc 2.1339 Tw (based both on the argument that maintainability must be) Tj 0 Tc 0.03 Tw ( ) Tj 263.88 634.2 TD -0.0019 Tc 0.7519 Tw (discussed ) Tj 0.7111 Tc 0 Tw (i) Tj 44.16 0 TD -0.0073 Tc 0.6613 Tw (n the context of particular changes) Tj 0 Tc -0.09 Tw ( ) Tj 143.64 0 TD 0.06 Tc 0 Tw (\226) Tj 5.04 0 TD -0.0296 Tc 0.6596 Tw ( it might be) Tj 0 Tc 0.03 Tw ( ) Tj -192.84 -11.76 TD -0.0098 Tc 2.6648 Tw (easy to perform one particular change, while another is) Tj 0 Tc -0.09 Tw ( ) Tj 0 -11.76 TD -0.0066 Tc 4.0823 Tw (virtually impossible. So if the software product provides easy maintainability then we can say software quality is up to mark. Types of Software Metrics Formal code metrics —Such as Lines of Code (LOC), code complexity, Instruction Path Length, etc. In Software engineering Software Quality Assurance (SAQ) assures the quality in the software. I am a Computer Science Engineering student, have a great interest in android application development & now mostly focusing on Internet of Things (IoT) applications. Aim of this paper is providing a baseline for further searches and serving the needs of developers and customers. answering whether system A with) Tj 0 Tc -0.09 Tw ( ) Tj T* /F2 9.96 Tf -0.0167 Tc 0.0467 Tw (M ) Tj 11.88 0 TD /F1 9.96 Tf -0.0117 Tc 1.0417 Tw (= 82 is more maintainable than ) Tj 1.0456 Tc 0 Tw (s) Tj 135.96 0 TD -0.0627 Tc 1.0527 Tw (ystem B with) Tj 0 Tc -0.09 Tw ( ) Tj 57.96 0 TD /F2 9.96 Tf -0.0167 Tc 0.0467 Tw (M ) Tj 11.76 0 TD /F1 9.96 Tf 0.0465 Tc 0.9435 Tw (= 81\)) Tj 0 Tc 0.03 Tw ( ) Tj -217.56 -11.76 TD -0.0154 Tc 3.2854 Tw (but rather discuss around how the maintainability of a) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0244 Tc 5.0773 Tw (single system change, thus connecting the notion of) Tj 0 Tc -0.09 Tw ( ) Tj T* -0.0133 Tc 0.1933 Tw (maintainability to the recognized problem of software aging ) Tj T* 0.0151 Tc 4.3349 Tw (and deterioration) Tj 0 Tc -0.09 Tw ( ) Tj 79.2 0 TD 0.0517 Tc 0 Tw ([25]) Tj 16.8 0 TD 0.0025 Tc 4.3475 Tw ( \(see section) Tj 0 Tc -0.09 Tw ( ) Tj 64.8 0 TD 0.05 Tc 0 Tw (3.1) Tj 12.6 0 TD 0.0232 Tc 4.2468 Tw (\). KEYWORDS Maintainability Model, Maintainability Metric, Maintainability Estimation, Maintainability Prediction 1. Tj 6.12 0 TD -0.0128 Tc 1.1228 Tw (We will also) Tj 0 Tc 0.03 Tw ( ) Tj -187.68 -11.76 TD -0.0089 Tc 0 Tw (i) Tj 2.76 0 TD -0.03 Tc 4.04 Tw (nvestigate the maintainability measures taxonomy by) Tj 0 Tc -0.21 Tw ( ) Tj -2.76 -11.76 TD -0.0103 Tc 0.0403 Tw (Oman et al where 92 measures are listed and classified ) Tj 220.56 0 TD 0.0517 Tc 0 Tw ([24]) Tj 16.8 0 TD 0.03 Tc (.) Tj 66.12 0 TD 0 Tc 0.03 Tw ( ) Tj -93.12 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([12] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0226 Tc 8.6326 Tw (Grady R.B., Successfully Applying Software) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD 0.0103 Tc 0.0197 Tw (Metrics, ) Tj 35.52 0 TD /F2 9.96 Tf 0.0222 Tc 0.0078 Tw (IEEE Computer) Tj 64.2 0 TD /F1 9.96 Tf 0.0082 Tc 0.0218 Tw (, volume 27, issue 9, 1994.) A. and Florac, W. A., A DoD Software) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0088 Tc 8.2228 Tw (Measurement Pilot: Applying the SEI Core) Tj 0 Tc 0.03 Tw ( ) Tj T* 0.0128 Tc 4.8172 Tw (Measures, report CMU/SEI) Tj 119.76 0 TD 0.0433 Tc 0 Tw (-) Tj 3.24 0 TD 0.06 Tc (94) Tj 10.08 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.1756 Tc (TR) Tj 12.84 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.0012 Tc 4.8288 Tw (016, Software) Tj 0 Tc 0.03 Tw ( ) Tj -152.4 -11.76 TD -0.0013 Tc 0.0313 Tw (Engineering Institute, 1995.) Chidamber, S. R., & Kemerer, C. F. (1991). The maintainability index is calculated with certain formulae from lines-of-code measures, McCabe measures and Halstead complexity measures. 4th Int. Finally, the aspect-oriented software maintainability metrics are applied to detect design principle violations in fifty AspectJ systems. One example it the rating of items as) Tj 0 Tc -0.09 Tw ( ) Tj T* -0.0141 Tc 1.7991 Tw (\223simple\224, \223average\224, or \223complex\224. Bad code requires a larger effort and costs more to adapt to new requirements. Our hypothesis is that this is) Tj 0 Tc -0.09 Tw ( ) Tj 0 -11.76 TD -0.0299 Tc 3.2199 Tw (discernible when measuring maintainability of a system) Tj 0 Tc -0.21 Tw ( ) Tj T* -0.0084 Tc 2.2784 Tw (during a long sequence) Tj 98.76 0 TD -0.0134 Tc 2.2034 Tw ( of changes. Tj 175.44 0 TD 0 Tc 0 Tw ( ) Tj -191.64 -14.04 TD /F1 9.96 Tf -0.0134 Tc 2.8034 Tw (Maintainability has previously been described mainly) Tj 0 Tc -0.21 Tw ( ) Tj 232.44 0 TD -0.0344 Tc -0.0556 Tw (in ) Tj -232.44 -11.76 TD -0.0248 Tc 2.6148 Tw (two ways, either informally or as a function of directly) Tj 0 Tc -0.21 Tw ( ) Tj 0 -11.76 TD -0.0095 Tc 0.0395 Tw (measurable attributes.) Correctness – Correctness is one of the important software quality metric as this checks whether the system or software is working correctly without any error by satisfying the user. Tj 71.28 0 TD 0 Tc 0.03 Tw ( ) Tj -89.28 -16.32 TD /F4 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD 0 Tc 0.03 Tw ( ) Tj 13.44 0 TD /F1 9.96 Tf -0.0068 Tc 0.5301 Tw (To make it possible to investigate the changes made to) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD -0.0151 Tc 1.8901 Tw (a system, it should have been developed using some) Tj 0 Tc 0.03 Tw ( ) Tj T* -0.0193 Tc 0.7543 Tw (sort of revision control system, from which any earlier) Tj 0 Tc 0.03 Tw ( ) Tj T* -0.017 Tc 0 Tw (versio) Tj 24.36 0 TD -0.0129 Tc 2.8295 Tw (n of the system can be retrieved. Tj 111.24 0 TD 0 Tc 0.03 Tw ( ) Tj -138.24 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([29] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD 0.0076 Tc 6.7424 Tw (SEI Software Tech) Tj 89.28 0 TD -0.0359 Tc 6.6659 Tw (nology Review,) Tj 0 Tc 0.03 Tw ( ) Tj 78.36 0 TD /F2 9.96 Tf 0.0112 Tc 0.0188 Tw (Cyclomatic ) Tj -167.64 -11.76 TD 0 Tw (Complexity) Tj 45.48 0 TD /F1 9.96 Tf -0.022 Tc 0.052 Tw (, URL: http://www.sei.cmu.edu/, 2002) Tj 152.64 0 TD 0 Tc 0.03 Tw ( ) Tj -225.12 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([30] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0169 Tc 2.4069 Tw (SEI Software Technology Review,) Tj 0 Tc 0.03 Tw ( ) Tj 150.36 0 TD /F2 9.96 Tf 0.0316 Tc 2.2784 Tw (Function Point) Tj 0 Tc 0.03 Tw ( ) Tj -150.36 -11.76 TD 0.0107 Tc 0 Tw (Analysis) Tj 33.84 0 TD /F1 9.96 Tf -0.022 Tc 0.052 Tw (, URL: http://www.sei.cmu.edu/, 2002) Tj 152.64 0 TD 0 Tc 0.03 Tw ( ) Tj -213.48 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([31] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0169 Tc 9.0469 Tw (SEI Software Technology Review,) Tj 0 Tc 0.03 Tw ( ) Tj 177 0 TD /F2 9.96 Tf 0.0193 Tc 0.0107 Tw (Halstead ) Tj -177 -11.76 TD 0.0082 Tc 49.4618 Tw (Complexity Measures) Tj 136.2 0 TD /F1 9.96 Tf -0.0198 Tc 49.3698 Tw (, URL:) Tj 0 Tc 0.03 Tw ( ) Tj -136.2 -11.76 TD -0.0738 Tc 0 Tw (http://www) Tj 44.64 0 TD 0.0062 Tc 0.0238 Tw (.sei.cmu.edu/, 2002) Tj 77.88 0 TD 0 Tc 0.03 Tw ( ) Tj -149.52 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([32] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0169 Tc 2.5269 Tw (SEI Software Technology Review,) Tj 0 Tc 0.03 Tw ( ) Tj 150.84 0 TD /F2 9.96 Tf 0.0199 Tc 0.0101 Tw (Maintainability ) Tj -150.84 -11.76 TD 0.0242 Tc 11.9758 Tw (Index Technique for Measuring Program) Tj 0 Tc 0.03 Tw ( ) Tj 0 -11.76 TD 0.0199 Tc 0 Tw (Maintainability) Tj 62.28 0 TD /F1 9.96 Tf -0.0333 Tc 10.5033 Tw (, URL: http://www.sei.cmu.edu/,) Tj 0 Tc 0.03 Tw ( ) Tj -62.28 -11.76 TD 0.06 Tc 0 Tw (2002) Tj 20.16 0 TD 0 Tc 0.03 Tw ( ) Tj -47.16 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([33] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.0072 Tc 3.7572 Tw (Shaw M. and Garlan D.,) Tj 0 Tc 0.03 Tw ( ) Tj 118.2 0 TD /F2 9.96 Tf 0.0131 Tc 3.6169 Tw (Software Architecture:) Tj 0 Tc 0.03 Tw ( ) Tj -118.2 -11.76 TD 0.0175 Tc 2.2025 Tw (Perspectives on an Emerging Discipline) Tj 169.92 0 TD /F1 9.96 Tf 0.0168 Tc 2.1732 Tw (, Prentice) Tj 39.96 0 TD 0.0433 Tc 0 Tw (-) Tj -209.88 -11.76 TD 0.0309 Tc -0.0009 Tw (Hall, 1996.) BT 54 710.64 TD 0 0 0 rg /F1 9.96 Tf -0.008 Tc 2.423 Tw (carried out within a stated time interval [\205] ) Tj 2.3233 Tc 0 Tw ([) Tj 200.52 0 TD -0.0056 Tc 2.3156 Tw (it] ranges) Tj 0 Tc -0.09 Tw ( ) Tj -200.52 -11.76 TD 0.007 Tc 0.023 Tw (from 0 to 1\224 \() Tj 54.96 0 TD 0.0517 Tc 0 Tw ([26]) Tj 16.8 0 TD 0.019 Tc 0.011 Tw (, italics added\).) Tj 74.64 0 TD 0 Tc 0.03 Tw ( ) Tj ET endstream endobj 29 0 obj 14996 endobj 27 0 obj << /Type /Page /Parent 5 0 R /Resources << /Font << /F0 6 0 R /F1 8 0 R /F2 10 0 R /F3 17 0 R >> /ProcSet 2 0 R >> /Contents 28 0 R >> endobj 31 0 obj << /Length 32 0 R >> stream Maintainability – Each software product requires maintenance and up gradation. This paper provides a … They can use metrics to communicate an issue, report a progress of a project, and improve their workflow. Tj 65.16 0 TD 0 Tc 0.03 Tw ( ) Tj -167.04 -23.76 TD ( ) Tj 1.2 0 TD 0.0517 Tc -0.0217 Tw ([27] ) Tj 19.32 0 TD 0 Tc 0.03 Tw ( ) Tj 6.48 0 TD -0.008 Tc 0.146 Tw (Ramil J. F. and Lehman M. M., "Metrics of Software ) Tj 0 -11.76 TD 0.0074 Tc 1.7026 Tw (Evolution as Effort Predictors) Tj 0 Tc -0.09 Tw ( ) Tj 128.76 0 TD 0.0433 Tc 0 Tw (-) Tj 3.24 0 TD -0.015 Tc 1.695 Tw ( A Case Study", In) Tj 0 Tc -0.09 Tw ( ) Tj -132 -11.76 TD /F2 9.96 Tf 0.0324 Tc 9.1176 Tw (Proceedings of) Tj 69.48 0 TD 0.0254 Tc 9.0046 Tw ( International Conference on) Tj 0 Tc 0.03 Tw ( ) Tj -69.48 -11.76 TD 0.0222 Tc 0.0078 Tw (Software Maintenance) Tj 90.36 0 TD /F3 9.96 Tf -0.0089 Tc 0 Tw (, ) Tj 5.52 0 TD /F1 9.96 Tf 0.0447 Tc -0.0147 Tw (IEEE, 2000.) the 4th International Conference on Semantics, Knowledge and Grid, Dec. 2008, pp.330-335. First, it is well known that software systems) Tj 0 Tc -0.09 Tw ( ) Tj T* 0.0008 Tc 1.1332 Tw (deteriorate as time passes and changes are made to it. The use of scenarios to evaluate) Tj 0 Tc 0.03 Tw ( ) Tj T* -0.0089 Tc 0.1074 Tw (maintainability has therefore been discussed, particularly on ) Tj T* -0.0035 Tc 3.5135 Tw (the architectural level) Tj 0 Tc 0.03 Tw ( ) Tj 99.12 0 TD 0.0517 Tc 0 Tw ([3) Tj 8.4 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.05 Tc (7,9,17) Tj 25.2 0 TD 0.0433 Tc (-) Tj 3.24 0 TD 0.0544 Tc (20]) Tj 13.44 0 TD -0.0369 Tc 3.4269 Tw (. Shortening downtime in length or frequency results in higher availability. 1. Deep Learning Approach for Software Maintainability Metrics Prediction Abstract: Software maintainability predicts changes or failures that may occur in software after it has been deployed. Productivity depends on the time you spend on tasks and other in-house activities. Adaptive maintenance includes the environmental changes where your software is living. The system deteriorates \(measured in ) Tj ET 312 137.76 0.48 11.64 re f 563.4 137.76 0.48 11.64 re f BT 340.08 128.28 TD -0.0086 Tc 0.0386 Tw (maintainability\) as changes are implemen) Tj 176.88 0 TD 0.0144 Tc 0 Tw (ted) Tj 13.32 3.96 TD /F0 6 Tf 0 Tc (2) Tj 3 -3.96 TD /F0 9.96 Tf 0.03 Tc (.)

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