diff --git a/INFO_DP.bib b/INFO_DP.bib
index c593691..f4048bb 100644
--- a/INFO_DP.bib
+++ b/INFO_DP.bib
@@ -2,13 +2,28 @@
 %% http://bibdesk.sourceforge.net/
 
 
-%% Created for Nigel Stanger at 2009-06-11 10:08:46 +1200 
+%% Created for Nigel Stanger at 2009-09-17 15:49:14 +1200 
 
 
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+@techreport{dp2009-05,
+	Abstract = {Software development effort estimation is important for quality management in the software development industry, yet its automation still remains a challenging issue. Applying machine learning algorithms alone often can not achieve satisfactory results. In this paper, we present an integrated data mining framework that incorporates domain knowledge into a series of data analysis and modeling processes, including visualization, feature selection, and model validation. An empirical study on the software effort estimation problem using a benchmark dataset shows the effectiveness of the proposed approach.},
+	Address = {Dunedin, New Zealand},
+	Author = {Jeremiah D. Deng and Martin K. Purvis and Maryam A. Purvis},
+	Date-Added = {2009-09-17 15:46:48 +1200},
+	Date-Modified = {2009-09-17 15:46:48 +1200},
+	Institution = {Department of Information Science, University of Otago},
+	Keywords = {software effort estimation, machine learning},
+	Month = jun,
+	Number = {2009/05},
+	Size = {260 KB},
+	Title = {Software effort estimation: {H}armonizing algorithms and domain knowledge in an integrated data mining approach},
+	Type = {Discussion paper},
+	Year = {2009}}
+
 @techreport{dp2009-04,
 	Abstract = {Sapstain is considered a defect that must be removed from processed wood. So far, research in automatic wood inspection systems has been mostly limited to dealing with knots. In this paper, we extract a number of colour and texture features from wood pictures. These features are then assessed using machine learning techniques via feature selection, visualization, and finally classification. Apart from average colour and colour opponents, texture features are also found to be useful in classifying sapstain. This implies a significant modification to the domain understanding that sapstain is mainly a discolourization effect. Preliminary results are presented, with satisfactory classification performance using only a few selected features. It is promising that a real world wood inspection system with the functionality of sapstain detection can be developed.},
 	Address = {Dunedin, New Zealand},
@@ -96,18 +111,17 @@
 	Type = {Discussion paper},
 	Year = {2008}}
 
-@techreport{dp2009-05,
-	Abstract = {Software development effort estimation is important for quality management in the software development industry, yet its automation still remains a challenging issue. Applying machine learning algorithms alone often can not achieve satisfactory results. In this paper, we present an integrated data mining framework that incorporates domain knowledge into a series of data analysis and modeling processes, including visualization, feature selection, and model validation. An empirical study on the software effort estimation problem using a benchmark dataset shows the effectiveness of the proposed approach.},
+@techreport{dp2009-06,
+	Abstract = {This research focuses on the design and development of an IBIS-based tool called IBISMod, which facilitates a distributed and collaborative decision-making process.  IBIS-based systems help analysts and designers in the process of formulating the requirements and design issues associated with complex problems that are difficult to specify.  In particular, it captures the rationale behind group decision-making process. The group members are usually distributed over a network and may be working together concurrently.  IBISMod is based on Rittel's Issue-Based Information System.  This particular implementation is a web-based tool that makes it possible for the participants to work together on a specific problem while they may be physically present in different locations.  In order to improve the interactivity, speed and usability of the framework, the AJAX approach has been adopted.},
 	Address = {Dunedin, New Zealand},
-	Author = {Jeremiah D. Deng and Martin K. Purvis and Maryam A. Purvis},
+	Author = {Toktam Ebadi and Maryam A. Purvis and Martin K. Purvis},
 	Date-Added = {2009-06-07 21:50:57 +1200},
-	Date-Modified = {2009-06-09 16:58:40 +1200},
+	Date-Modified = {2009-09-17 15:48:57 +1200},
 	Institution = {Department of Information Science, University of Otago},
-	Keywords = {software effort estimation, machine learning},
 	Month = jun,
-	Number = {2009/05},
-	Size = {260 KB},
-	Title = {Software effort estimation: {H}armonizing algorithms and domain knowledge in an integrated data mining approach},
+	Number = {2009/06},
+	Size = {500 KB},
+	Title = {A collaborative Web-based issue based information system (IBIS) framework},
 	Type = {Discussion paper},
 	Year = {2009}}
 
@@ -499,7 +513,7 @@
 	Month = may,
 	Number = {2006/09},
 	Size = {843 KB},
-	Title = {Combining multiple precision-boosted classifiers for  indoor-outdoor scene classification},
+	Title = {Combining multiple precision-boosted classifiers for indoor-outdoor scene classification},
 	Type = {Discussion paper},
 	Year = {2006}}