尚絅大学で担当する情報処理基礎科目では,最初にキーボード演習を実施しており,学生が実施したキーボード演習結果を印刷提出後に,教員が表計算ソフトで入力集計を行い,PDFファイルを作成し,Webサーバへ転送し進捗管理を行っていた。今回,TypeQuickデータ抽出Web表示プログラム(TQ2HTML)を作成したことで,学生はTypeQuickサーバへ同期をとるだけで自動的にHTMLファイルが作成されWebページを表示するプログラムを開発した。このプログラムを使用することにより,学生が同期を行う事で演習結果を印刷提出することなく自動的にバックアップする事ができる。さらに教員がデータ入力,入力ミス,集計転送作業を無くすことができ,学生にも教員にとっても利点があるシステムを構築した。

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This paper proposes a new project-based learning (PBL) environment for nurturing software engineers. The proposed PBL environment makes it possible to monitor the process and product metrics for measuring and quantifying students' software development projects and compare these metrics values among various project groups. The application of the proposed environment to a PBL program called practical software development course verifies that this new program simplifies the provision of proper guidance and assistance to students in many cases.

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Measuring the quality of software design artifacts is difficult due to the limitation of information in the design phase. The class diagram is one of the design artifacts produced during the design phase. The syntactic and semantic information in the class is essential to consider in the measurement process. Smell detection uses class-related information to detect the smell as an indicator of a lack of quality. Several classifiers use all information related to the class to prove how informative it for the smell detection process. The smell types that are a concern in this research are Blob and Feature Envy. The experiment using three classifiers (j48, Multi-Layer Perceptron, and Naïve Bayes) confirms that Blob smell detection utilizes the information successfully. On the other hand, Feature Envy still needs more elaboration. The average true positive rate by the classifiers is about 80.67%.

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This paper proposes a new method for identification of locations on an irregular-shaped small body. A 3D shape model of polygons is a representation of a small body, and an ID number of polygon can be a unique identifier of a particular location on the body. We also propose a graphical interface to specify locations of interests by identifying particular polygons in a 3D graphics display. With these concepts, we develop database system with a web-based interface for archiving images obtained through asteroid explorations missions. Database for this system stores images and a list of polygon IDs that are included in the field of view (FOV) of each image. We prepare the polygon ID-image FOV databases for Hayabusa and NEAR Shoemaker asteroid missions, by simulating actual FOVs of each images from ancillary data of spacecraft and shape models of target asteroids. Accuracy of FOV estimation and consistency of polygon ID databases are also assessed.

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Most studies on population and family patterns in early modern Japan have been carried out with three kinds of historical documents: the religious investigation registers, the Buddhist temple death registers, and the household registers. In cases where these handwritten documents have been well preserved, we can obtain a considerable amount of information about the real life of peasants including not only population statistics, but also indices concerning family status. We have been developing a database system to calculate demographic statistics from these documents. With this system, we can improve the following four technical aspects: reduction of data processing to output demographic statistics, reliability of the data processing, preservation of historical documents in digital form, and sharing of data and analysis methods with researchers around the world. We named this system DANJURO. We have also started to develop the Alliance system for kinship and genealogy studies, and the historical GIS for geographic mobility with the database in DANJURO. DANJURO allowed us to find regional differences in the mean age of women at first marriage and the structure of households between Aizu / Ohnuma counties and Muko / Yatabe counties. We were also able to verify long-distance marriages in both regions from the end of the 18th century. It is clear that the reproductive behavior in each village was not limited to nearby villages where peasants could make a round trip in one day. Therefore, it is necessary to collect, store, analyze, and share additional series of historical registers with DANJURO and to find the regional patterns of reproductive behavior as well as the reasons for these regional difference in a nationwide perspective before preparing the national demographic statistics.

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本論文では,ソフトウェア技術者育成のための新しいPBL環境を提案する.我々の提案するPBL環境では,受講生の開発プロジェクトにおけるプロセス/プロダクトメトリクスのモニタリングと取得したメトリクスのグループ間比較が可能となる.実際にPBL授業「開発実践演習」に我々の提案するPBL環境を適用した結果,複数の事例において受講生への適切な指導・補助が容易となることが分かった.

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In recent years, hybrid typestate analysis has been proposed to eliminate unnecessary monitoring instrumentations for runtime monitors at compile-time. Nop-shadows Analysis (NSA) is one of these hybrid typestate analyses. Before generating residual monitors, NSA performs the data-flow analysis which is intra-procedural flow-sensitive and partially context-sensitive to improve runtime performance. Although NSA is precise, there are some cases on which it has little effects. In this paper, we propose three optimizations to further improve the precision of NSA. The first two optimizations try to filter interferential states of objects when determining whether a monitoring instrumentation is necessary. The third optimization refines the inter-procedural data-flow analysis induced by method invocations. We have integrated our optimizations into Clara and conducted extensive experiments on the DaCapo benchmark. The experimental results demonstrate that our first two optimizations can further remove unnecessary instrumentations after the original NSA in more than half of the cases, without a significant overhead. In addition, all the instrumentations can be removed for two cases, which implies the program satisfy the typestate property and is free of runtime monitoring. It comes as a surprise to us that the third optimization can only be effective on 8.7% cases. Finally, we analyze the experimental results and discuss the reasons why our optimizations fail to further eliminate unnecessary instrumentations in some special situations.

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イベントデータを時系列に配列したタイムラインは，時間的な関係性を提示する手法として広く利用されている．人物の経歴や物事の歴史などを調べる際には，ある特定のタイムラインだけではなく，その他のタイムラインに含まれる出来事との関連性も理解することが重要となる．しかしながら，テキストベースの異なるタイムラインを比較参照し，出来事の時間的な位置関係を理解しながら，出来事間の関連性を理解することは困難である．そこで本稿では，情報視覚化によって複数のタイムラインの関連性の理解を支援するシステムVISTORYを提案する．提案システムでは，複数のタイムラインと相互関連性の視覚的なオーバービューをユーザに提示することにより複雑な関連性の理解を助ける．本稿では，提案したシステムを被験者に利用してもらい，その様子の観察と実験後のアンケートに基づき，提案システムの有用性の評価を行った．

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本稿では，漠然とした検索要求下におけるレシピ探索を支援することを目的とし，その実現のアプローチとして情報視覚化を利用したレシピ探索システムを提案する．本システムでは，ユーザが行う一連の探索過程を，ユーザからの個々の検索要求および検索結果となる個々の情報をノードとするグラフとして表現する．また，本システムの有効性を評価するために，本システムを一人で使用する場合と，複数人での利用を想定し，評価実験を行った．実験後のアンケートの結果と考察から，本システムは，漠然としたレシピ探索に対して有効であることが確認された．

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