* ICSE 2018 *
Sun 27 May - Sun 3 June 2018 Gothenburg, Sweden
Wed 30 May 2018 14:00 - 14:15 at E3 room - Programming and Code Analysis Chair(s): Thorsten Berger

Spreadsheets are commonly used in organizations as a programming tool for business-related calculations and decision making. Since faults in spreadsheets can have severe business impacts, a number of approaches from general software engineering have been applied to spreadsheets in recent years, among them the concept of code smells. Smells can in particular be used for the task of fault prediction. An analysis of existing spreadsheet smells, however, revealed that the predictive power of individual smells can be limited. In this work we therefore propose a machine learning based approach which combines the predictions of individual smells by using an AdaBoost ensemble classifier. Experiments on two public datasets containing real-world spreadsheet faults show significant improvements in terms of fault prediction accuracy.

Wed 30 May
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14:00 - 15:30
Programming and Code AnalysisNIER - New Ideas and Emerging Results at E3 room
Chair(s): Thorsten BergerChalmers University of Technology, Sweden
14:00
15m
Talk
Combining Spreadsheet Smells for Improved Fault Prediction
NIER - New Ideas and Emerging Results
DOI Pre-print File Attached
14:15
15m
Talk
Images of Code: Lossy Compression for Native Instructions
NIER - New Ideas and Emerging Results
Marcelino Rodriguez-Cancio, Benoit BaudryKTH Royal Institute of Technology, Sweden, Jules WhiteVanderbilt University
14:30
15m
Short-paper
Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code
NIER - New Ideas and Emerging Results
Nghi D. Q. BuiSingapore Management University, Singapore, Lingxiao JiangSingapore Management University
Pre-print
14:45
15m
Talk
Which library should I use? A metric-based comparison of software libraries
NIER - New Ideas and Emerging Results
Fernando Lopez de La MoraUniversity of Alberta, Sarah NadiUniversity of Alberta
Pre-print
15:00
15m
Talk
UniComp: a semantics-aware model compiler for optimised predictable software
NIER - New Ideas and Emerging Results
Federico CiccozziMalardalen University
Link to publication
15:15
15m
Talk
Self-adaptive static analysis
NIER - New Ideas and Emerging Results
Eric BoddenHeinz Nixdorf Institut, Paderborn University and Fraunhofer IEM
Pre-print