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A Hybrid Approach for Regression Testing in Interprocedural Program
Singh, Yogesh,Kaur, Arvinder,Suri, Bharti Korea Information Processing Society 2010 Journal of information processing systems Vol.6 No.1
Software maintenance is one of the major activities of the software development life cycle. Due to the time and cost constraint it is not possible to perform exhaustive regression testing. Thus, there is a need for a technique that selects and prioritizes the effective and important test cases so that the testing effort is reduced. In an analogous study we have proposed a new variable based algorithm that works on variables using the hybrid technique. However, in the real world the programs consist of multiple modules. Hence, in this work we propose a regression testing algorithm that works on interprocedural programs. In order to validate and analyze this technique we have used various programs. The result shows that the performance and accuracy of this technique is very high.
Yogarabindranath Swarna Nantha,Arvinder-Singh HS 대한가정의학회 2020 Korean Journal of Family Medicine Vol.41 No.4
Background: The provision of sick leave to patients in general practice often entails a complex decision-making process. Commonly, general practitioners believe that the act of providing sick leave can become confrontational. We assessed the intention, attitude, subjective norm, and perceived behavioral control of general practitioners in relation to sick leave provision at public health clinics in Malaysia. Methods: A cross-sectional study design was implemented using data from 86 primary health care clinics in two states in Malaysia from February 2014 to March 2015. A questionnaire that comprised indirect measures were developed on the basis of the Theory of Planned Behavior. The questionnaire assessed several dimensions related to sickness certification provision viz., intention, attitude, subjective norm, and perceived behavioral control. Results: The mean scores in this study revealed that physicians acknowledged that patient factors such as clinical symptoms (6.59±0.04), debilitating signs and symptoms of diseases (6.45±0.06), importance of illness recovery (6.07±0.07), and approval of employers (5.35±0.09) played an important role in their decision to provide sick leave. Conclusion: The act of providing sickness certification to patients is a complex decision-making process. The findings of this study can be used to devise a targeted intervention to reduce the conflict that physicians face in issuing sick leaves.
A Regression Test Selection and Prioritization Technique
Malhotra, Ruchika,Kaur, Arvinder,Singh, Yogesh Korea Information Processing Society 2010 Journal of information processing systems Vol.6 No.2
Regression testing is a very costly process performed primarily as a software maintenance activity. It is the process of retesting the modified parts of the software and ensuring that no new errors have been introduced into previously tested source code due to these modifications. A regression test selection technique selects an appropriate number of test cases from a test suite that might expose a fault in the modified program. In this paper, we propose both a regression test selection and prioritization technique. We implemented our regression test selection technique and demonstrated in two case studies that our technique is effective regarding selecting and prioritizing test cases. The results show that our technique may significantly reduce the number of test cases and thus the cost and resources for performing regression testing on modified software.
A Comparative Study of Estimation by Analogy using Data Mining Techniques
Nagpal, Geeta,Uddin, Moin,Kaur, Arvinder Korea Information Processing Society 2012 Journal of information processing systems Vol.8 No.4
Software Estimations provide an inclusive set of directives for software project developers, project managers, and the management in order to produce more realistic estimates based on deficient, uncertain, and noisy data. A range of estimation models are being explored in the industry, as well as in academia, for research purposes but choosing the best model is quite intricate. Estimation by Analogy (EbA) is a form of case based reasoning, which uses fuzzy logic, grey system theory or machine-learning techniques, etc. for optimization. This research compares the estimation accuracy of some conventional data mining models with a hybrid model. Different data mining models are under consideration, including linear regression models like the ordinary least square and ridge regression, and nonlinear models like neural networks, support vector machines, and multivariate adaptive regression splines, etc. A precise and comprehensible predictive model based on the integration of GRA and regression has been introduced and compared. Empirical results have shown that regression when used with GRA gives outstanding results; indicating that the methodology has great potential and can be used as a candidate approach for software effort estimation.
Robotic-assisted right hepatectomy via anterior approach for intrahepatic cholangiocarcinoma
Sanjay Goja,Manoj K Singh,Rohan Jagat Chaudhary,Arvinder S Soin 한국간담췌외과학회 2017 Annals of hepato-biliary-pancreatic surgery Vol.21 No.2
Major hepatic resection, especially right hepatectomy, has been successfully performed by specialized hepatobiliary centers using the robotic platform with low morbidity, conversion rates and outcomes comparable to laparoscopic and open surgery. The authors report a case of robotic-assisted right hepatectomy done for intrahepatic cholangiocarcinoma using anterior approach, after right portal vein embolisation for future liver remnant volume enhancement.
Surgical approaches to hepatic hydatidosis ranging from partial cystectomy to liver transplantation
Sanjay Goja,Sujeet Kumar Saha,Sanjay Kumar Yadav,Anisha Tiwari,Arvinder Singh Soin 한국간담췌외과학회 2018 Annals of hepato-biliary-pancreatic surgery Vol.22 No.3
Backgrounds/Aims: A wide range of surgical approaches has been described for hepatic hydatidosis aiming primarily at the reduction of disease recurrence and minimization of postoperative morbidity. Methods: A database analysis of patients with liver hydatidosis who underwent different surgical procedures between March 2010 and May 2016 was performed. Results: A total of 21 patients with cystic echinococcosis (CE) and four cases of alveolar echinococcosis (AED) were detected. Nine patients manifested recurrent disease at presentation. Among CE cases, 5 underwent partial cystectomy (2 laparoscopic and 3 open), 9 cysto-pericystectomy (7 open and 2 robotic) and 7 hepatectomies (1 central, 4 right, 1 left and 1 right trisectionectomy). Living donor liver transplantation was performed in 3 patients with AED and the fourth patient underwent right trisectionectomy with en bloc resection of hepatic flexure and right diaphragm. Seven developed Clavien grade II and three grade III complications. The mean follow-up of CE was 34.19±19.75 months. One patient of laparoscopic partial cystectomy developed disease recurrence at 14 months. No recurrence was detected at a mean follow-up of 34±4.58 months following LDLT and at 24 months following multivisceral resection for AED. Conclusions: The whole spectrum of tailored surgical approaches ranging from minimally invasive to open and extended liver resections represents safe, effective and recurrence-free treatment of hepatic hydatidosis.