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...ally, knowing which knowledge disappeared can help to decide which skills are needed for the new employee and on which areas he or she should work on. 5.2. Example 2 Acme is using Extreme Programming =-=[17]-=- as software development methodology. Within agile methodologies, the focus lies on “working software over comprehensive documentation” [18]. The produced source code is considered the most valuable a...

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...ve [13]. To overcome this barrier to adopt knowledge management, tools that try to extract knowledge automatically from existing artifacts who knows what were developed. Two examples are AnswerGarden =-=[14]-=- which creates a knowledge repository storing the questions and answers exchanged between help desks and their clients and ActiveNet [15] which extracts knowledge from the e-mail traffic, instant mess...

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...r approaches such as expertise recommenders, which suggest who has expertise in particular parts of the program also base their recommendations on this assumption. Tools such as Expertise Recommender =-=[7]-=-, EEL [8], and Expertise Browser [9] make recommendations based on commits to source code repositories. The objective of the expert identification measurement framework is twofold: the primary goal is...

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...menders, which suggest who has expertise in particular parts of the program also base their recommendations on this assumption. Tools such as Expertise Recommender [7], EEL [8], and Expertise Browser =-=[9]-=- make recommendations based on commits to source code repositories. The objective of the expert identification measurement framework is twofold: the primary goal is to track the time spent editing the...

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...d work on. 5.2. Example 2 Acme is using Extreme Programming [17] as software development methodology. Within agile methodologies, the focus lies on “working software over comprehensive documentation” =-=[18]-=-. The produced source code is considered the most valuable asset, representing the knowledge of the development team. This knowledge has to be shared among team members using practices like “pair prog...

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...hes such as expertise recommenders, which suggest who has expertise in particular parts of the program also base their recommendations on this assumption. Tools such as Expertise Recommender [7], EEL =-=[8]-=-, and Expertise Browser [9] make recommendations based on commits to source code repositories. The objective of the expert identification measurement framework is twofold: the primary goal is to track...

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...extracted builds on the idea that the programmer’s activity, i.e. the adding, modifying, deleting, reading of code is an indicator of the knowledge that the programmer has about that part of the code =-=[6]-=-. Other approaches such as expertise recommenders, which suggest who has expertise in particular parts of the program also base their recommendations on this assumption. Tools such as Expertise Recomm...

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... are activities within the field of knowledge management which aim to find out who knows what [1]. This information can serve various purposes, e.g., to find the right employees to staff new projects =-=[2]-=-, to match positions with skills [3], or to support software maintenance [4]. In distributed environments or in larger development teams knowledge about who wrote a particular piece of code, who knows...

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...s as possible [12]. Asking employees to maintain their knowledge profile takes time which means that it will generate costs since if experts spend time sharing knowledge, they will be less productive =-=[13]-=-. To overcome this barrier to adopt knowledge management, tools that try to extract knowledge automatically from existing artifacts who knows what were developed. Two examples are AnswerGarden [14] wh...

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...knowledge management which aim to find out who knows what [1]. This information can serve various purposes, e.g., to find the right employees to staff new projects [2], to match positions with skills =-=[3]-=-, or to support software maintenance [4]. In distributed environments or in larger development teams knowledge about who wrote a particular piece of code, who knows about a particular set of classes, ...

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...lass names (e.g., “test” to find the testing experts), or types of documents. To be able to change the rules easily, we use Prolog rules to define how the data should be classified (using Interprolog =-=[16]-=- as a bridge between Java and Prolog). Within Prolog we define a set of predicates that correspond to the properties collected by the measurement framework which allow access to the table “properties”...

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...in which employees maintain their own or the skill profiles of their subordinates. A common problem of knowledge engineering is how to generate knowledge with as less effort and resources as possible =-=[12]-=-. Asking employees to maintain their knowledge profile takes time which means that it will generate costs since if experts spend time sharing knowledge, they will be less productive [13]. To overcome ...

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...ut who knows what [1]. This information can serve various purposes, e.g., to find the right employees to staff new projects [2], to match positions with skills [3], or to support software maintenance =-=[4]-=-. In distributed environments or in larger development teams knowledge about who wrote a particular piece of code, who knows about a particular set of classes, who is responsible for a particular requ...

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...out who knows what has to be provided by the users of the system or if it is extracted from other sources. Examples of tools of the first group are the StepStone Skills & Competency Management Module =-=[10]-=- or SAP ERP Human Capital Management [11] in which employees maintain their own or the skill profiles of their subordinates. A common problem of knowledge engineering is how to generate knowledge with...

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...the users of the system or if it is extracted from other sources. Examples of tools of the first group are the StepStone Skills & Competency Management Module [10] or SAP ERP Human Capital Management =-=[11]-=- in which employees maintain their own or the skill profiles of their subordinates. A common problem of knowledge engineering is how to generate knowledge with as less effort and resources as possible...