improve docs

Author: mtf90

algorithms/active/lstar/src/main/java/de/learnlib/algorithm/rivestschapire/package-info.java

@@ -17,6 +17,6 @@
 /**
  * This package (and sub-packages) provides the implementation of the {@link de.learnlib.algorithm.lstar L* variation}
  * based on the paper <a href="http://dx.doi.org/10.1006/inco.1993.1021">Inference of finite automata using homing
- * sequences</a> by Ronald L. Rivest and Robert E. Schapire.
+ * sequences</a> by Ronald L.&nbsp;Rivest and Robert E.&nbsp;Schapire.
  */
 package de.learnlib.algorithm.rivestschapire;

build-tools/annotation-processor/src/main/java/de/learnlib/buildtool/package-info.java

@@ -0,0 +1,20 @@
+/* Copyright (C) 2013-2023 TU Dortmund
+ * This file is part of LearnLib, http://www.learnlib.de/.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/**
+ * This package (including sub-packages) contains utility code for the build process of LearnLib.
+ */
+package de.learnlib.buildtool;