Front
نویسندگان
چکیده
In this paper, a novel approach, Inforence, is proposed to isolate the suspicious codes that likely contain faults. Inforence employs a feature selection method, based on mutual information, to identify those bug-related statements that may cause the program to fail. Because the majority of a program faults may be revealed as undesired joint effect of the program statements on each other and on program termination state, unlike the state-of-the-art methods, Inforence tries to identify and select groups of interdependent statements which altogether may affect the program failure. The interdependence amongst the statements is measured according to their mutual effect on each other and on the program termination state. To provide the context of failure, the selected bug-related statements are chained to each other, considering the program static structure. Eventually, the resultant cause-effect chains are ranked according to their combined causal effect on program failure. To validate Inforence, the results of our experiments with seven sets of programs include Siemens suite, gzip, grep, sed, space, make and bash are presented. The experimental results are then compared with those provided by different fault localization techniques for the both single-fault and multi-fault programs. The experimental results prove the outperformance of the proposed method compared to the state-of-the-art techniques.
منابع مشابه
Influence of front row burden on fragmentation, Muckpile shape, Excavator cycle time, and back break in surface Limestone Mines
Front row burden is one of the key parameter to improve the bench blasting results. Improper design of the front row burden can create nuisances in the form of ground vibration, flyrock, back break or it may responsible for breakage of improper fragment size from the rockmass. Therefore, front row burden need to be optimised on the basis of proper scientific assessment. It has been proved that ...
متن کاملRelationship between sprint performance of front-crawl swimming and muscle fascicle length in young swimmers
The purpose of this study was to investigate the relationship between sprint performance of front-crawl swimming and muscle fascicle length in 23 male young swimmers. The sample was divided into two groups by 25-m sprint front-crawl swimming performance: 14.6-15.7 s (S1, n=11) and 15.8-17 s (S2, n=12). Muscle thickness and pennation angle and fascicle length of the Biceps Brachii (only muscle t...
متن کاملPredicting sprint performance of front-crawl swimming in young swimmers with an emphasis on biomechanical, muscle architectural and anthropometrical factors
Youth swimming performance may be influenced by anthropometric, physiology, and biomechanical factors. The purpose of this study was to analyze the relationships between 50-m front-crawl swimming performance and relevant anthropometrical (body height, body mass, body mass index, arm span, shoulders width, thigh, leg and upper arm lengths), muscle architectural (muscle thickness, pennation ...
متن کاملA New Algorithm for Constructing the Pareto Front of Bi-objective Optimization Problems
Here, scalarization techniques for multi-objective optimization problems are addressed. A new scalarization approach, called unified Pascoletti-Serafini approach, is utilized and a new algorithm to construct the Pareto front of a given bi-objective optimization problem is formulated. It is shown that we can restrict the parameters of the scalarized problem. The computed efficient points provide...
متن کاملAssessment and Design Enhancement of the Front End Energy Absorption Mechanism of a Locomotive Based on an Impact Scenario
This research is concerned with weighing the behavior of the front end energy absorption system of a locally manufactured locomotive in crash situations. The causes of the extensive damages to the energy absorption apparatus that includes the crash element and the buffer are studied. By choosing the proper damage model the conditions of the accident is simulated by using the ABAQUS engineering ...
متن کامل