Intelligent Database Systems Lab

國立雲林科技大學National Yunlin University of Science and Technology

Mining Software History to Improve Software Maintenance Quality

Presenter : Li Shu-YaAuthors : Alexander Tarvo, Microsoft

Software, 2009

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I. M.

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Outline

Motivation Objective Methodology Experiments and Results Conclusion Comments

Intelligent Database Systems Lab

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I. M.Motivation

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Bug? UpdateBug? Update

Bug? UpateBug? UpdateBug? UpdateBug? Update

Bug? UpdateBug? Update

Alex

專長：把 bug 越 De 越多…專長： Debug

Oh! SoftwareRegressions?!

I must improve it!

A story in Micosoft …

King of Garbage

我最會 Debug 了(叫我 king..)

King of Destruction

我是破壞王(我也是 king..怎樣~)

Intelligent Database Systems Lab

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I. M.Objectives

The best method to avoid regressions’ consequences extensive testing of all fixes.

Need a tool or a method that can predict the amount of risk for each fix.

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Intelligent Database Systems Lab

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I. M.Methodology – System Overview

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Binary Change Tracer (BCT)

Intelligent Database Systems Lab

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I. M.Binary Change Tracer (BCT)

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1. Dividing the binary into components.2. Extracting the history of code changes

3. Associating code changes with bugs. 4. Storing the extracted data

Bug trackingdatabases

(BTDs)

Check-in IDs in VCS

Relate

BCT

Bugscheck-insDevelopersBinariessource filesfunctions

code complexityCouplingOO metrics

MaX

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the best indicators of regression risksource files affected by the fixAll functions changea new functionality

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I. M.Conclusion

This model is useful for risk prediction.

82009 年 Micosoft 最佳員工獎

還好有這個系統讓我沒有被裁員

Intelligent Database Systems Lab

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I. M.Comments

Advantage It really improve software maintenance quality

Drawback …

Application Software Maintenance

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