COMBINING INFORMATION RETRIEVAL MODULES AND ...

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Copyright Peng Shao 2011 ALL RIGHTS RESERVED
ABSTRACT Bug localization and feature location in source code are software evolution tasks in which developers use information about a bug or feature present in a software system to locate the source code elements, such as classes or methods. These classes or methods must be modified either to correct the bug or implement a feature. Automating bug localization and feature location are necessary due to the size and complexity of modern software systems. Recently, researchers have developed static bug localization and feature location techniques using information retrieval techniques, such as latent semantic indexing (LSI), to model lexical information, such as identifiers and comments, from source code. This research presents a new technique, LSICG, which combines LSI modeling lexical information and call graphs to modeling structural information. The output is a list of methods ranked in descending order by likelihood of requiring modification to correct the bug or implement the feature under consideration. Three case studies including comparison of LSI and LSICG at method level and class level of granularity on 25 features in JavaHMO, 35 bugs in Rhino, 3 features and 6 bugs in jEdit demonstrate that The LSICG technique provides improved performance compared to LSI alone. ii
Page 1: COMBINING INFORMATION RETRIEVAL MOD
Page 5 and 6: FCA Formal concept analysis: a tech
Page 7 and 8: S A diagonal matrix whose diagonal
Page 9 and 10: CONTENTS ABSTRACT .................
Page 11 and 12: 5.4.2 Rhino .......................
Page 13 and 14: LIST OF TABLES 5.1 Three projects i
Page 15 and 16: 5.31 Rankings for six bugs in jEdit
Page 17 and 18: 5.10 Average Rankings for Rhino (al
Page 19 and 20: al., 2007; Shao et al., 2009), are
Page 21 and 22: 25 features in JavaHMO, 35 bugs in
Page 23 and 24: Ndqr Recall = Where Ndqr is the tot
Page 25 and 26: kβ Then Pr(wk |Di) = λ if wk
Page 27 and 28: probabilistic model obtained higher
Page 29 and 30: order to improve the quality of top
Page 31 and 32: software change artifacts. It conve
Page 33 and 34: e an object in object-oriented prog
Page 35 and 36: approaches to monitor, plan, and pr
Page 37 and 38: into situations where obtaining dir
Page 39 and 40: CHAPTER 3 RELATED WORK Chapter 3 gi
Page 41 and 42: integrate the LSI score (SLSI) and
Page 43 and 44: • Stemming - strip suffixes to re
Page 45 and 46: stretching and minimum squeezing th
Page 47 and 48: different types of software artifac
Page 49 and 50: the text description of software ar
Page 51 and 52: provided a useful first impression
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CHAPTER 4 RESEARCH METHOD Chapter 4
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2. Construct and query the LSI mode
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those methods may also be relevant
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4.3 LSICG implementation LSICG comp
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called methods. Because the JDT is
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Question: How accurate are LSICG an
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classes identified for jEdit featur
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6. Play your MP3 files and streamin
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To accommodate the two change reque
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For a given feature, we first run L
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Likewise, we compute the average ra
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(NativeRegExp, emitREBytecode) 2639
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Figure 6 illustrates the overall re
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As was the case for JavaHMO, seven
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Figure 5.5 Average rankings from ea
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For each query in Table 5.13, we ru
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For JavaHMO and Rhino, we also prov
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5.5.2 Rhino We use all 35 bugs in R
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5.6 All bugs/features Results This
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plugins.organizer.OrganizerContaine
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900 800 700 600 500 400 300 200 100
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overload] 253323 Assignment to vari
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Table 5.21 Rankings of thirty-five
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well for small size of subjects (si
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254915 289 80 109 8 125 8 8 255549
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Pair 1 LSICG - LSI Mean Std. Deviat
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The average ranking of BestLSI is 2
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900 800 700 600 500 400 300 200 100
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Pair 1 Pair 1 BestofALL_ LSICG Best
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200 150 100 50 0 Figure 5.13 Averag
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pathMenu path_menu 1607211 Q51 jEdi
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Note that both BestLSI and BestLSIC
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5.6.4 Discussion of results The sec
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Table 5.32 Features and targeted cl
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Table 5.33 Bugs and targeted classe
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Table 5.34 Features and targeted cl
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Table 5.36 Rankings for JavaHMO (cl
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35 30 25 20 15 10 5 0 Figure 5.18 A
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256339 62 5 59 1 55 1 256575 28 5 1
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120 100 80 60 40 20 0 98 80 71 Figu
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For LSICG16 and LSI16, |t| = 5.608,
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For bug localization task in jEdit,
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70 60 50 40 30 20 10 Figure 5.22 Av
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CHAPTER 6 DISCUSSION The results of
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more coupling than the other two pr
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4. The projects in this study range
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call-away rule, try combining struc
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Canfora, G. and Cerulo, L. (2006a),
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Fry, Z. P. and Shepherd, D. and Hil
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Lewis, D., In Ifs, Harper, W.L., St
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Marcus, A. and Poshyvanyk, D. and F
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Websites JavaHMO, http://JavaHMO.so
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offset timezone] (NativeDate, date_
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254778 Rhino treats label as separa
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Parser,argumentList Parser,assignEx
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Interpreter,updateLineNumber Interp
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